30 Days Masterclass on Machine Learning

✅Day 1: Introduction, Course Outline, Object detection and speech recognition
✅Day 2: Python Core Foundations: Variables & Data Types, Logical Operations, and String Processing.
✅Day 3: Python Data Structures for Machine Learning: Lists, Tuples, and Dictionaries — Access, Manipulation, Iteration, and Data Organization.
✅Day 4: Python Control Flow & Decision Logic for Machine Learning: Conditional Statements, Pattern Matching, and Looping Constructs
✅Day 5: Advanced Python Function Design for Machine Learning: Functional Programming, Recursion, and Code Abstraction
✅Day 6: Python Oop Fundamentals: Classes, Objects, Attributes, And Methods.)
✅Day 7: NumPy (arrays, indexing, operations)
✅Day 8: Pandas (DataFrames, CSV/Excel import/export, filtering, grouping)
✅Day 9: Data Cleaning (handling missing values, duplicates, outliers)
✅Day 10: Data Visualization (Matplotlib, Seaborn – plots, histograms, heatmaps)
✅Day 11: Exploratory Data Analysis (EDA) on a dataset (Kaggle Titanic dataset)
✅Day 12: ML basics (supervised vs unsupervised, train/test split, accuracy)
✅Day 13: Sale Prediction using LOGISTIC REGRESSION
✅Day 14: Salary estimation using K-NEAREST NEIGHBOUR
✅Day 15: Titanic Survival prediction using NAIVE BAYES
✅Day 16: Plant leaf Iris detection using DECISION TREE
✅Day 17: Digit recognition using RANDOM FOREST
✅Day 18: Handwritten Digit Recognition using SUPPORT VECTOR MACHINE
✅Day 19: Evaluating Classification model Performance
✅Day 20: House price prediction using Linear Regression Single Variable
✅Day 21: Exam mark prediction using LINEAR REGRESSION – MULTIPLE VALUES
✅Day 22: Car Price Prediction using REGRESSION Model
✅Day 23: Evaluating Regression Model Using R-Squared & Adjusted R-Squared
✅Day 24: Income & Spent Analysis using K-Means & Hierarchical Clustering
✅Day 25: Market Basket Analysis using APIRIORI
✅Day 26: Web Ad Optimization using Upper Confidence Bound – Reinforcement Learning
✅Day 27: Image Processing with OpenCV (Load, Resize, Crop, Rotate & Draw Shapes.) & Object Detection using yolo
✅Day 28: Deep learning algorithm & Designing Neural Network & Image classification using CNN
✅Day 29: Speech Recognition using DL
✅Day 30: REAL & Fake news detection using LLM