Eligibility	Plus-Two/3-year Diploma/B-Tech/BE (Prerequisites courses may be suggested Such as Python. Or else the duration may be increased to 150hrs)
Duration	3 Months
Fee Amount	Rs. 10,000/-
Fee Structure	Rs 5,000/- Plus Rs 5,000/-
Number of  Installments	2

Python fundamentals: Introduction to Python programming, Jupiter Notebook, Spyder IDE, PyCharm IDE, Python Pandas, Introduction to Numpy & Matplotlib.

Machine Learning basics: Introduction to Machine Learning, Supervised, unsupervised and reinforcement learning, Bias-variance trade-off, Overfitting, underfitting, Gradient descent, cost function, hyperparameters and validation sets, bias and variance, Bias-variance tradeoff, regularization

Supervised Learning algorithms: Linear Regression using single variable, Linear Regression using multiple variables, Pickle & Joblib modules, Dummy Variables & One Hot Encoding, Training and testing data, Logistic Regression for Binary Classification, Logistic Regression for Multiclass Classification, Decision tree algorithm, Support Vector Machine (SVM), Random Forest algorithm, K-Fold Cross Validation, Naive Bayes Classifier, Hyper parameter Tuning, L1 and L2 Regularization- Lasso, Ridge Regression, K nearest neighbors classification

Unsupervised Learning algorithms: Clustering and Association, K Means Clustering Algorithm, Hierarchal clustering, Principle Component Analysis, Independent Component Analysis

Feature Engineering: Imputation, Discretization, Categorical Encoding, Feature Splitting, Handling Outliers, Variable Transformations, Scaling, Creating Features.