Python Programming
An Introduction to Python
Beginning Python Basics
Python Program Flow
Functions& Modules
Exceptions Handling
File Handling
Classes in Python
Statistical Concepts
Descriptive &
Inferential Statistics,
Probability Concept: Marginal, Joint &
Conditional
Probability, Bayes
Theorem
Probability Distributions,
Hypothesis Test
Entropy &Information Gain,
Regression & Correlation,
Confusion Matrix, Bias & Variance
Data Science and Analytics
An Introduction to Data Science and Analytics
Data Analysis Using NumPy
Data Analysis Using Pandas
Data Visualization – Pandas, Matplotlib, Seaborne, Plotly and
Cufflinks
Machine Learning
Introduction to Machine Learning
Linear Regression
Logistic Regression
K-Means Clustering
Decision Tree
Random Forest
K-Nearest Neighbours
Support Vector Machine
Naive Bayes
Principal Component Analysis(PCA)
Artificial Neural Networks(ANN) Deep Learning
Introduction to Deep Learning
Artificial Neural Network -ANN
Loss Function
Bias & Gradient Descent
Stochastic Gradient Descent
Convolution Neural Networks -CNN
Recurrent Neural Networks – RNNs
Natural Language Processing-NLP
Computer Vision using Opencv
Deployment
