Machine Learning with Python Complete Certification Training

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + .srt | Duration: 30 lectures (24h 3m) | Size: 10.7 GB Deep dive into Machine Learning with Python Programming. Implement practical scenarios & a project on Recommender System What you'll learn: Deep dive into the world of Machine Learning (ML) Apply Python for Machine Learning programs Understand what is ML, need for ML, challenges & application of ML in real-life scenarios Types of Machine Learning Components of Python ML Ecosystem Anaconda, Jupyter Notebook, NumPy, Pandas, Scikit-learn Regression analysis scikit-learn Library to implement Simple Linear Regression Multiple Linear Regression and Polynomial Regression Logistic Regression What is Classification, Classification Terminologies in Machine Learning What is KNN? How does the KNN algorithm work? What is a Decision Tree and Implementation of Decision Tree SVM and its implementation What is Clustering and Applications of Clustering Clustering Algorithms K-Means Clustering and K-Means Clustering algorithm example Hierarchical Clustering Agglomerative Hierarchical clustering and how does it work Woking of Dendrogram in Hierarchical clustering Implementation of Agglomerative Hierarchical Clustering Association Rule Learning Apriori algorithm and Implementation of Apriori algorithm Introduction to Recommender Systems Content-based Filtering Collaborative Filtering Implementation of Movie Recommender System Requirements Enthusiasm and determination to make your mark on the world! Description Machine Learning with Python - Course Syllabus 1. Introduction to Machine Learning What is Machine Learning? Need for Machine Learning Why & When to Make Machines Learn? Challenges in Machines Learning Application of Machine Learning 2. Types of Machine Learning Types of Machine Learning a) Supervised learning b) Unsupervised learning c) Reinforcement learning Difference between Supervised and Unsupervised learning Summary 3. Components of Python ML Ecosystem Using Pre-packaged Python Distribution: Anaconda Jupyter Notebook NumPy Pandas Scikit-learn 4. Regression Analysis (Part-I) Regression Analysis Linear Regression Examples on Linear Regression scikit-learn library to implement simple linear regression 5. Regression Analysis (Part-II) Multiple Linear Regression Examples on Multiple Linear Regression Polynomial Regression Examples on Polynomial Regression 6. Classification (Part-I) What is Classification Classification Terminologies in Machine Learning Types of Learner in Classification Logistic Regression Example on Logistic Regression 7. Classification (Part-II) What is KNN? How does the KNN algorithm work? How do you decide the number of neighbors in KNN? Implementation of KNN classifier What is a Decision Tree? Implementation of Decision Tree SVM and its implementation 8. Clustering (Part-I) What is Clustering? Applications of Clustering Clustering Algorithms K-Means Clustering How does K-Means Clustering work? K-Means Clustering algorithm example 9. Clustering (Part-II) Hierarchical Clustering Agglomerative Hierarchical clustering and how does it work Woking of Dendrogram in Hierarchical clustering Implementation of Agglomerative Hierarchical Clustering 10. Association Rule Learning Association Rule Learning Apriori algorithm Working of Apriori algorithm Implementation of Apriori algorithm 11. Recommender Systems Introduction to Recommender Systems Content-based Filtering How Content-based Filtering work Collaborative Filtering Implementation of Movie Recommender System Who this course is for Data Scientists and Senior Data Scientists Machine Learning Scientists Python Programmers & Developers Machine Learning Software Engineers & Developers Computer Vision Machine Learning Engineers Beginners and newbies aspiring for a career in Data Science and Machine Learning Principal Machine Learning Engineers Machine Learning Researchers & Enthusiasts Anyone interested to learn Data Science, Machine Learning programming through Python AI Specialists & Consultants Python Engineers Machine Learning Ai Data Science Data, Analytics, AI Consultants & Analysts Machine Learning Analysts Homepage https://www.udemy.com/course/machine-learning-with-python-training/ Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me

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