ML algorithms, scikit-learn, model training
333 courses available
Showing 50 courses
Udemy
Learn To Build Machine Learning Projects Practically. Beginner-friendly AI & Machine Learning course on Udemy with 1 hour of content. Rated 5.0/5 by 12 learners. Available for free.
Udemy
Learn DC Machines | Transformers | Induction Motor | Synchronous Machines. Beginner-friendly English & Communication course on Udemy with 7 hours of content. Rated 5.0/5 by 2 learners. Price: $19.99.
Udemy
Learn all the prerequisites to get into learning the concepts of machine learning. Beginner-friendly AI & Machine Learning course on Udemy with 2 hours of content. Rated 5.0/5 by 1 learners. Price: $799.
Udemy
Modèles avancés tirés de la recherche scientifique sous Keras/Tensorflow, Random Forest, optimisation d'hyperparamètres. Beginner-friendly Data Science & Analytics course on Udemy with 10 hours of content. Rated 4.9/5 by 8 learners. Price: $119.99. Taught in French.
Udemy
Learn to over-sample and under-sample your data, apply SMOTE, ensemble methods, and cost-sensitive learning. Beginner-friendly AI & Machine Learning course on Udemy with 11 hours of content. Rated 4.9/5 by 503 learners. Price: $199.99.
Udemy
Learn To Build Machine Learning Projects Practically. Beginner-friendly Data Science & Analytics course on Udemy with 1 hour of content. Rated 4.9/5 by 14 learners. Available for free.
Udemy
Learn the powerful tools used in data science and machine learning from a top instructor. Beginner-friendly Cloud & DevOps course on Udemy with 12 hours of content. Rated 4.9/5 by 176 learners. Price: $44.99.
scikit-learn
scikit-learn Official Tutorial is a comprehensive intermediate-level resource offered by scikit-learn, focused on building practical skills in data science and analytics. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a comprehensive text-based learning resource — ideal for learners who prefer reading and reference-style learning over videos. The advantage of text-based resources is that you can easily search for specific topics, bookmark important sections, copy code snippets, and revisit concepts quickly without scrubbing through video timelines. Many working professionals prefer this format as it's easier to learn in short bursts during breaks. This resource covers topics essential for success in data science and analytics, including Python, SQL, Pandas, NumPy, data visualization, statistics, and machine learning basics. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Understand the core concepts and theoretical foundations Apply your knowledge through hands-on exercises and small projects Build the practical skills employers actually screen for Develop the problem-solving approach used by working professionals Duration: Estimated duration: 10 hours of content, designed to be completed in 1-2 weeks at a comfortable pace. Basic familiarity with the subject area is recommended. You should have completed a beginner-level course or have equivalent self-taught knowledge. Comfort with using a computer and basic problem-solving skills will help. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into data science and analytics Freelancers wanting to add new services to their portfolio Self-learners passionate about data science and analytics and wanting structured guidance Pricing: This resource is completely free with no hidden charges. Completing this resource and building related skills can prepare you for roles such as Data Analyst, Business Analyst, Data Scientist, Analytics Engineer. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 4-8 LPA Mid-level / 2-5 years: Rs 10-22 LPA Senior / 5+ years: Rs 25-50 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include TCS, Infosys, Flipkart, Amazon, Swiggy, Zomato, PhonePe. The data science industry in India is projected to grow at 27% CAGR through 2028. Companies across all sectors — from banking (HDFC, ICICI) to e-commerce (Flipkart, Amazon) to healthcare (Practo, PharmEasy) — are building data teams. India currently has a shortage of 200,000+ data professionals, making this one of the best fields to enter right now. Cities like Bangalore, Hyderabad, Pune, and Gurgaon have the highest concentration of data science jobs. scikit-learn is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
XGBoost
XGBoost - Gradient Boosting Library is a comprehensive intermediate-level resource offered by XGBoost, focused on building practical skills in data science and analytics. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a comprehensive text-based learning resource — ideal for learners who prefer reading and reference-style learning over videos. The advantage of text-based resources is that you can easily search for specific topics, bookmark important sections, copy code snippets, and revisit concepts quickly without scrubbing through video timelines. Many working professionals prefer this format as it's easier to learn in short bursts during breaks. This resource covers topics essential for success in data science and analytics, including Python, SQL, Pandas, NumPy, data visualization, statistics, and machine learning basics. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Understand the core concepts and theoretical foundations Apply your knowledge through hands-on exercises and small projects Build the practical skills employers actually screen for Develop the problem-solving approach used by working professionals Duration: Estimated duration: 5 hours of content, designed to be completed in 1-1 weeks at a comfortable pace. Basic familiarity with the subject area is recommended. You should have completed a beginner-level course or have equivalent self-taught knowledge. Comfort with using a computer and basic problem-solving skills will help. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into data science and analytics Freelancers wanting to add new services to their portfolio Self-learners passionate about data science and analytics and wanting structured guidance Pricing: This resource is completely free with no hidden charges. Completing this resource and building related skills can prepare you for roles such as Data Analyst, Business Analyst, Data Scientist, Analytics Engineer. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 4-8 LPA Mid-level / 2-5 years: Rs 10-22 LPA Senior / 5+ years: Rs 25-50 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include TCS, Infosys, Flipkart, Amazon, Swiggy, Zomato, PhonePe. The data science industry in India is projected to grow at 27% CAGR through 2028. Companies across all sectors — from banking (HDFC, ICICI) to e-commerce (Flipkart, Amazon) to healthcare (Practo, PharmEasy) — are building data teams. India currently has a shortage of 200,000+ data professionals, making this one of the best fields to enter right now. Cities like Bangalore, Hyderabad, Pune, and Gurgaon have the highest concentration of data science jobs. XGBoost is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
Udemy
A translator's guide to learn about machine translation and emerging jobs (MTPE, MT Evaluation and Pre-editing). Advanced-level Business & Finance course on Udemy with 1 hour of content. Rated 4.8/5 by 130 learners. Price: $19.99.
Udemy
Solve Data Science Problems Using Automated -ML, Learn To Use Eval ML, Pycaret, Auto Keras, Auto SK Learn, H20 Auto ML. Beginner-friendly AI & Machine Learning course on Udemy with 10 hours of content. Rated 4.8/5 by 24 learners. Price: $19.99.
Udemy
Learn Incredibly Cool Photoshop Painting Techniques to Create Professional Level Machine Art. Beginner-friendly UI/UX & Design course on Udemy with 5 hours of content. Rated 4.8/5 by 782 learners. Price: $119.99.
Udemy
Learn how to transform your ML ideas into interactive web applications and paywall subscription sites - Master Class. Beginner-friendly AI & Machine Learning course on Udemy with 4 hours of content. Rated 4.8/5 by 37 learners. Price: $69.99.
Udemy
Learn the Intuition and Math behind Every Model. Beginner-friendly AI & Machine Learning course on Udemy with 13 hours of content. Rated 4.8/5 by 5 learners. Price: $49.99.
Udemy
Aprenda Mahine Learning e Deep Learning com TensorFlow, PyTorch, Theano, Keras, Scikit-learn e muito mais!. Beginner-friendly AI & Machine Learning course on Udemy with 17 hours of content. Rated 4.8/5 by 164 learners. Price: $79.9. Taught in Portuguese.
Udemy
Learn To Build Machine Learning Project Practically From Scratch. Beginner-friendly AI & Machine Learning course on Udemy with 19 hours of content. Rated 4.8/5 by 65 learners. Price: $39.99.
Udemy
Learn Complete Unsupervised ML: Clustering Analysis and Dimensionality Reduction. Beginner-friendly Data Science & Analytics course on Udemy with 3 hours of content. Rated 4.8/5 by 63 learners. Price: $19.99.
Udemy
Learn the fundamental mathematics for Data Science, AI &ML using R. Beginner-friendly Data Science & Analytics course on Udemy with 11 hours of content. Rated 4.8/5 by 110 learners. Price: $39.99.
Udemy
Learn how to integrate machine learning into iOS apps. Hands-on Swift 5 coding using CoreML 2, Vision, NLP and CreateML. Beginner-friendly AI & Machine Learning course on Udemy with 2 hours of content. Rated 4.8/5 by 164 learners. Price: $99.99.
Udemy
Unlock the Human Sales Machine in You. Learn to Sell Anything You Want. Fast & Easy. Sales Fundamentals in a Nutshell. Beginner-friendly Business & Finance course on Udemy with 1 hour of content. Rated 4.7/5 by 19 learners. Price: $99.99.
Udemy
Learn how to snag the most in demand role in the tech field today!. Advanced-level AI & Machine Learning course on Udemy with 10 hours of content. Rated 4.7/5 by 9 learners. Price: $199.99.
Udemy
Build, Train, & Test Your First ML Model in SageMaker. Learn AWS Marketplace, Canvas, GroundTruth, & SageMaker Studio. Beginner-friendly Data Science & Analytics course on Udemy with 2 hours of content. Rated 4.7/5 by 28 learners. Available for free.
Udemy
Learn filter, wrapper, and embedded methods, recursive feature elimination, exhaustive search, feature shuffling & more. Beginner-friendly AI & Machine Learning course on Udemy with 6 hours of content. Rated 4.7/5 by 1,788 learners. Price: $94.99.
Udemy
Learn To Build Real World Machine Learning Projects Practically. Beginner-friendly AI & Machine Learning course on Udemy with 26 hours (~3 days) of content. Rated 4.7/5 by 67 learners. Price: $49.99.
Udemy
Learn effectively with proven scientific techniques to increase your potential and speed up your progress!!. Beginner-friendly English & Communication course on Udemy with 7 hours of content. Rated 4.7/5 by 130 learners. Price: $129.99.
Kaggle
Intermediate Machine Learning - Kaggle Learn is a comprehensive intermediate-level resource offered by Kaggle, focused on building practical skills in artificial intelligence and machine learning. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a hands-on, project-based learning platform where you learn by doing, not just watching. Instead of passive video consumption, you'll actively write code, solve problems, and build projects from the very first lesson. Research consistently shows that active practice leads to 3-5x better retention compared to passive learning. You'll make mistakes, debug issues, and develop real problem-solving skills that directly translate to workplace performance. This resource covers topics essential for success in artificial intelligence and machine learning, including machine learning algorithms, deep learning, NLP, computer vision, and model deployment. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Build supervised and unsupervised ML models with scikit-learn Master regression, classification, and clustering algorithms Evaluate models using cross-validation and proper metrics Deploy ML models to production Duration: Estimated duration: 4 hours of content, designed to be completed in 1-1 weeks at a comfortable pace. Basic familiarity with the subject area is recommended. You should have completed a beginner-level course or have equivalent self-taught knowledge. Comfort with using a computer and basic problem-solving skills will help. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into artificial intelligence and machine learning Freelancers wanting to add new services to their portfolio Self-learners passionate about artificial intelligence and machine learning and wanting structured guidance Pricing: This resource is completely free with no hidden charges. Completing this resource and building related skills can prepare you for roles such as ML Engineer, AI Engineer, Data Scientist, Research Scientist. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 8-15 LPA Mid-level / 2-5 years: Rs 18-35 LPA Senior / 5+ years: Rs 40-80 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include Google, Microsoft, OpenAI, Indian AI startups, research labs. India is the second-largest AI talent pool globally, and the demand far exceeds supply. The Indian AI market is expected to reach $17 billion by 2027. Every major Indian tech company — from Infosys to Reliance to Jio — is investing heavily in AI capabilities. The emergence of generative AI has created entirely new job categories that didn't exist two years ago. ML engineers with LLM experience are commanding Rs 30-60 LPA even at early career stages. Kaggle is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
Inria
scikit-learn MOOC - Inria is a comprehensive intermediate-level resource offered by Inria, focused on building practical skills in artificial intelligence and machine learning. Whether you're a complete beginner looking to start a new career or a professional aiming to upgrade your skills, this resource provides a thorough learning experience. This is a structured online course with a carefully designed curriculum. Each module builds on the previous one, creating a logical progression from fundamentals to advanced topics. The course typically includes video lectures, reading materials, hands-on exercises, quizzes, and sometimes peer-reviewed assignments. This structured approach ensures you don't miss any critical concepts and build a solid foundation. This resource covers topics essential for success in artificial intelligence and machine learning, including machine learning algorithms, deep learning, NLP, computer vision, and model deployment. The curriculum is structured to build your knowledge progressively — starting with foundational concepts and advancing to real-world applications. By the end, you should be able to: Understand the core concepts and theoretical foundations Apply your knowledge through hands-on exercises and small projects Build the practical skills employers actually screen for Develop the problem-solving approach used by working professionals Duration: Estimated duration: 20 hours of content, designed to be completed in 2-4 weeks at a comfortable pace. Basic familiarity with the subject area is recommended. You should have completed a beginner-level course or have equivalent self-taught knowledge. Comfort with using a computer and basic problem-solving skills will help. This resource is designed for a wide audience: Students (B.Tech, BCA, MCA, BSc) looking to complement their academic learning with practical, industry-relevant skills Fresh graduates preparing for campus placements or off-campus interviews Working professionals looking to upskill, switch domains, or advance their careers Career changers transitioning from non-tech backgrounds into artificial intelligence and machine learning Freelancers wanting to add new services to their portfolio Self-learners passionate about artificial intelligence and machine learning and wanting structured guidance Pricing: This resource is completely free with no hidden charges. Completing this resource and building related skills can prepare you for roles such as ML Engineer, AI Engineer, Data Scientist, Research Scientist. Realistic salary bands in India (2025-2026), based on Naukri/AmbitionBox data: Freshers / 0-2 years: Rs 8-15 LPA Mid-level / 2-5 years: Rs 18-35 LPA Senior / 5+ years: Rs 40-80 LPA Actual offers vary heavily by city, company tier, and how strong your portfolio or interview performance is. Companies actively hiring in this space include Google, Microsoft, OpenAI, Indian AI startups, research labs. India is the second-largest AI talent pool globally, and the demand far exceeds supply. The Indian AI market is expected to reach $17 billion by 2027. Every major Indian tech company — from Infosys to Reliance to Jio — is investing heavily in AI capabilities. The emergence of generative AI has created entirely new job categories that didn't exist two years ago. ML engineers with LLM experience are commanding Rs 30-60 LPA even at early career stages. Inria is a well-established platform trusted by millions of learners worldwide. This particular resource has been selected by our editorial team based on: Content quality — comprehensive coverage with clear explanations Practical focus — emphasis on hands-on skills over pure theory Student outcomes — positive reviews and career success stories Indian relevance — content applicable to the Indian job market and interview patterns Updated curriculum — material reflects current industry practices and tools We regularly review and update our recommendations to ensure they remain relevant and high-quality.
Udemy
Learn how to optimize Machine Learning algorithms' performances and apply feature selection using Genetic Algorithm. Beginner-friendly AI & Machine Learning course on Udemy with 7 hours of content. Rated 4.6/5 by 299 learners. Price: $149.99.
Udemy
Practical way to learn Data Science and Machine Learning with STATA . Examples and real data are provided. Beginner-friendly Data Science & Analytics course on Udemy with 2 hours of content. Rated 4.6/5 by 15 learners. Available for free.
Udemy
Learn imputation, variable encoding, discretization, feature extraction, how to work with datetime, outliers, and more. Beginner-friendly AI & Machine Learning course on Udemy with 10 hours of content. Rated 4.6/5 by 2,673 learners. Price: $199.99.
Udemy
Learn AI: Computer Vision, NLP, Tabular Data - build powerful models with Google AutoML & Apple CreateML. Beginner-friendly Data Science & Analytics course on Udemy with 4 hours of content. Rated 4.6/5 by 91 learners. Price: $89.99.
Udemy
Learn VMware's ESXi 6.5 Hyperisor, Virtual Networking, NFS Shares and Virtual Machines. Learn how with Video Lab Demos. Beginner-friendly Cloud & DevOps course on Udemy with 10 hours of content. Rated 4.6/5 by 81 learners. Price: $19.99.
Udemy
Microsoft Azure DP-100: Designing and Implementing a Data Science Solution Exam Covered. Learn Azure Machine Learning. Beginner-friendly Cloud & DevOps course on Udemy with 27 hours (~3 days) of content. Rated 4.6/5 by 5,680 learners. Price: $99.99.
Udemy
AWS machine learning certification preparation - learn SageMaker, feature engineering, data engineering, modeling & more. Beginner-friendly Cloud & DevOps course on Udemy with 11 hours of content. Rated 4.6/5 by 7,817 learners. Price: $199.99.
Udemy
Learn VMware's ESXi 6 Hyperisor, Virtual Networking, NFS Shares and Virtual Machines. Learn how with Video Demos. Beginner-friendly Cloud & DevOps course on Udemy with 9 hours of content. Rated 4.6/5 by 3,990 learners. Price: $19.99.
Udemy
Master AWS SageMaker Algorithms (Linear Learner, XGBoost, PCA, Image Classification) & Learn SageMaker Studio & AutoML. Beginner-friendly Data Science & Analytics course on Udemy with 16 hours of content. Rated 4.6/5 by 1,333 learners. Price: $199.99.
Udemy
Learn Fundamentals Of Data Science & Machine Learning With Rapidminer (No Coding). Dataset & Solutions Included. Advanced-level Data Science & Analytics course on Udemy with 3 hours of content. Rated 4.6/5 by 776 learners. Price: $124.99.
Udemy
How to Serialize - Deserialize model with scikit-learn & Deployment on Heroku, AWS Lambda, ECS, Docker and Google Cloud. Beginner-friendly AI & Machine Learning course on Udemy with 4 hours of content. Rated 4.6/5 by 217 learners. Price: $19.99.
Udemy
Learn To Create Passive Income and Live Financially Free. Beginner-friendly Business & Finance course on Udemy with 1 hour of content. Rated 4.6/5 by 16 learners. Price: $64.99.
Udemy
LinkedIn Machine: The LinkedIn MasterClass to learn LinkedIn Marketing, Lead Generation, Business Development, B2B Sales. Beginner-friendly Business & Finance course on Udemy with 5 hours of content. Rated 4.5/5 by 5,557 learners. Price: $189.99.
Udemy
Learn Sales Strategies & Sales Techniques to Sell ANYTHING for Entrepreneurs, Startup, B2B Sales, & Business Development. Advanced-level Business & Finance course on Udemy with 3 hours of content. Rated 4.5/5 by 3,685 learners. Price: $189.99.
Udemy
Learn the Fundamental Concepts of Artificial Intelligence and Machine Learning as the Next Game-Changing Technology. Beginner-friendly AI & Machine Learning course on Udemy with 2 hours of content. Rated 4.5/5 by 940 learners. Price: $179.99.
Udemy
Learn to Earn Weekly Paychecks from a professional businessman trading Covered Calls and Cash Secured Puts. Beginner-friendly Business & Finance course on Udemy with 7 hours of content. Rated 4.5/5 by 3 learners. Price: $24.99.
Udemy
Learn how to manage Chinese Laser cutting machine. Advanced-level UI/UX & Design course on Udemy with 1 hour of content. Rated 4.5/5 by 2 learners. Price: $29.99.
Udemy
Learn the Azure Machine Learning Studio, Azure Bot Service, Video Indexing service, Computer Vision for OCR and more!. Beginner-friendly Web Development course on Udemy with 17 hours of content. Rated 4.5/5 by 383 learners. Price: $99.99.
Udemy
Master the Secrets of Persuasion Psychology & Learn the Communication Skills to Influence Anyone in Business & Life. Advanced-level English & Communication course on Udemy with 2 hours of content. Rated 4.5/5 by 1,213 learners. Price: $189.99.
Udemy
Learn how to create virtual machines step by step. Beginner-friendly Cloud & DevOps course on Udemy with 1 hour of content. Rated 4.5/5 by 6 learners. Price: $44.99.
Udemy
Machine Learning made simple with Excel! Learn data profiling for advanced analysis & business intelligence (no coding!). Beginner-friendly AI & Machine Learning course on Udemy with 2 hours of content. Rated 4.5/5 by 2,494 learners. Price: $174.99.
Udemy
Learn the basics of clothes mending and don't ever pay a seamstress again!. Beginner-friendly English & Communication course on Udemy with 1 hour of content. Rated 4.5/5 by 3 learners. Price: $24.99.
Udemy
Make your Electrical Machines (DC Machines) concepts crystal clear. Learn everything about DC generator & DC motor. Beginner-friendly English & Communication course on Udemy with 4 hours of content. Rated 4.5/5 by 3 learners. Price: $1.