Foursteps Solutions

Introduction to Statistics and its types

Central Tendency, SD and Variance

Data Sources

Probability

Mutually Exclusive Events and Independent Events

Binomial Distribution Theory

Binomial Distribution Code

Poisson Distribution Theory

Poisson Distribution Code

Gaussian/Normal Distribution Theory

Gaussian/Normal Distribution Code

Assessment 3

LEVEL 4 Whatsapp Link

Basic Plotting

Loading External Data and Understanding

Visualization - Bi Variant Analysis

Visualization - Uni Variant Analysis

Visualization - Multi Variant Analysis

Data Cleaning - 1

Data Cleaning - 2

Assessment 4

LEVEL 5 Whatsapp Link

Theory - Introduction and Measure of Association

Theory - Co-Variance and Correlation

Theory - Residual and MSE

P1-Hands On - Car Price prediction

Hands On - Fine tuning model

Assessment 5

LEVEL 6 Whatsapp Link

Theory - Introduction to Classification

Theory - Decision Trees

P2 - Hands on - Decision Tree Implementation and Fine tuning

Accuracy Metrics - Precision, Recall, F1 Score

Decision Tree - Feature Splits

Theory - Random Forest

P3 - Hands on - Random Forest Implementation and Fine tuning

Theory - K Nearest Neighbors

P4 - Hands on - KNN Implementation and Fine tuning

Theory - Support Vector Machines

P5 - Hands on - SVM Implementation and Fine tuning

Theory - Logistic Regression

P6 - Hands on - Logistic Regression Implementation and Fine tuning

Theory - Gaussian Naïve Bayes

P7 - Hands on - GNB Implementation and Fine tuning

Assessment 6

LEVEL 7 Whatsapp Link

Hello World

Drawing Operations

Basic Image Handling

Masking

Smoothing and Blurring

Thresholding

P8 - Contours and License Plate Detection

Assessment 7

LEVEL 8 Whatsapp Link

Feature Extraction and Challenges Faced

P9 - Haralick Textures

P10 - Multi - Feature Extraction - Sign Board Classification

P11 - Face Detection - Haar Cascade Classifier

P12 - Local Binary Pattern Histogram - Face Recognition

P13 - Histograms of Oriented Gradients

Assignment - Handwritten character Recognition

Assignment - Face Emotion Recognition System

Assignment - Numerical Data Classification

Assessment 8

LEVEL 9 Whatsapp Link

Theory - Introduction to Clustering

Theory - K Means and DB clustering

P14 - Hands on - Kmeans Clustering

Hands on - DB Scan

Assignment - MNIST Clustering

Assessment 9

Introduction to Neural Networks

Neuron, Layers, Activation Functions

Forward and Back Propagation

Gradient Optimization and weight updation

P15 - Hands on - Multi Layer Perceptron for numerical data

Hands on - Model Fine tuning

P16 - Categorical Data and K Fold Validation

P17 - Hands on - MLP for Images

Hands on - Model Analysis and saving

Introduction to CNN

Convolution and Pooling Layers

P18 - CNN_Implementation

P19 - Car Classification using CNN with Callbacks

Transfer learning

P20 - Transfer Learning implementation

Assignment - Classification with localization

Assignment - Plant Disease Classification

Assessment 10

LEVEL 10 Whatsapp Link

Introduction to Object detection

Introduction to Yolo Architecture

P21 - Implementing Yolo Architecture and model training

Model Inference

Introduction to GAN

Assignment - Custom Object Detection for helmet detection

FINAL ASSESSMENT