Machine Learning & Deep Learning : Python Practical Hands-on

Interested in the field of Machine Learning? Then this course is for you!Designed & Crafted by AI Solution Expert with 15 + years of relevant and hands on experience into Training , Coaching and Development.Complete Hands-on AI Model Development with Python.  Course Contents are:Understand Machine Learning in depth and in simple process. Fundamentals of Machine LearningUnderstand the Deep Learning Neural Nets with Practical Examples.Understand Image Recognition and Auto Encoders.Machine learning project Life CycleSupervised & Unsupervised LearningData Pre-ProcessingAlgorithm SelectionData Sampling and Cross ValidationFeature EngineeringModel Training and ValidationK -Nearest Neighbor AlgorithmK- Means AlgorithmAccuracy DeterminationVisualization using SeabornYou will be trained to develop various algorithms for supervised & unsupervised methods such as  KNN , K-Means , Random Forest, XGBoost model development. Understanding the fundamentals and core concepts of machine learning model building process with validation and accuracy metric calculation. Determining the optimum model and algorithm. Cross validation and sampling methods would be understood. Data processing concepts with practical guidance and code examples provided through the course. Feature Engineering as critical machine learning process would be explained in easy to understand and yet effective manner.We will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.