Who want to become Data scientist they will learn.
Machine Learning Algorithms will cover part of training
What is Data Science
Python Basic level
Python Advanced Level
Python packages for Datascience
What is Machine learning?
Features of Machine Learning?
Difference between regular program and machine learning program
Applications of Machine Learning
Types of Machine Learning
What is Supervised Learning?
What is Reinforcement Learning?
What is Neighbours algorithm
K Nearest Neighbours classification
K Nearest Neighbours Regression
Detailed Supervised Learning
Supervised Learning Algorithms
Linear Regression
Use Case(with Demo)
Model Fitting
Need for Logistic Regression
What is Logistic Regression?
Ridge and lasso regression
Support vector Machines
Pre process of Machine learning data
ML Pipeline
What is Unsupervised Learning?
What is Clustering?
Types of Clustering
Tree Based Modeles
What is Decision Tree?
What is Random Forest?
What is Adaboost?
What is Gradient boosting
stochastic gradient boostinng
What is Naïve Bayes?
Nothing required.