Python Programming and Anaconda Navigator Download & Installation
Course Content
Introduction to Python
- Anaconda Navigator Download
- Anaconda Navigator Installation
- Create environment and download libraries
- Introduction to Jupiter notebook
- Python Object & Data Structure
- Numbers
- String
- List
- Dictionary
- Tuples
- Sets and Booleans
- Python Statement
- Methods and Function
- OOPs
- Python Libraries
- Numpy
- Pandas
- Matplotlib
- Seaborn
What is Machine Learning
- Machine Learning application
- Machine learning Process
- How to become a machine learning engineer
- Pattern Recognition
Graphica Models
- What is PGM
- MRF
Stats and Prob
- Introduction to statistic
- Statistical analysis process
- Kurtosis
- Co-relation matrix
- Statistics practical
Data Pre-Processing
- Data preparation process
- Type of Data
- Feature Scaling
KNN AND ANN
- KNN Data preprocessing
- KNN modeling
- Visualize KNN model. Rise of artificial neuron
- Introduction to ANN
- Perceptron
- Activation Functions
- Feed forward Neural networks
- Cost function in neural network
- Back-propagation neural network
- Introduction to CNN
- CNN arch and Convolutional layer
- Pooling layer and fully connected layer
- RNN introduction
- Recurrent neurons
- Various configuration of RNNs
- Training recurrent neural network
- TensorFlow Introduction
- Computational Graph
- ANN practical
- CNN Practical
- RNN Practical
Decision Tree
- dt classifier
- dt regressor
- RF practical
- Decision tree regression
- Decision Tree Classification
- Random Forest
SVM
- SVM introduction
- SVM Mathematics
- Non-linear SVM
Clustering Analysis
- Clustering Introduction
- K-means theory
- k-means Mathematical
- k-means practical part 1
- k-means practical part 2
NLP
- Basics of NLP
- NLP application
- Feature extraction
- Gaussian NB
- NLP practical’s
Reinforcement Learning
- Rf intro
- Case study overview
- Bellman eq
- MDP
- Q-learning
- Dynamic programming
- Q-learning practical