Data Science and Machine Learning Tasks

Beginner to Advanced Level Data Science and Machine Learning Tasks in Python.

1) Prediction using Supervised ML

Data: student_scores.csv
Problem: Prediction of Students Scores based on the Number of hours they study
Model: Simple Linear Regression
IDE Jupyter Notebook

2) Classification using Naive Bayes with Laplace Correction/Smoothing

Problem: Classify Employees as Senior or Junior based on Age, Salary and Department
Model: Naive Bayes
IDE Jupyter Notebook

3) Random Dice Staris Simulation Distribution Analysis

Problem: What are the odds that you'll reach 60 steps high using a Random Dice Simulation and Distribution
IDE Jupyter Notebook

4) ANNs vs CNNs for Image Classification

Problem: Built, trained and tested Simple ANN vs CNN for Classification of Images
IDE Jupyter Notebook
Data: CIFAR10 small images classification Dataset