Day1 Introduction Machine Learning | 30 Days Free Machine Learning Master Class
Video by Pantech eLearning via YouTube
Source
30 Days Internship on Machine Learning Master Class
Internship Reg Link: https://imjo.in/Rb6xqe
Discount Coupon Code: WELCOMEML
Attendance : 6.30 PM IST
✅Day1 Introduction to ML And AI
✅Day2 Python code in google colab,Jupyter notebook
Supervised Learning – Classification and Regression
✅Day3 Liver disease Prediction (Logistic Regression)
✅Day4 Crime Analysis (KNN Algorithm)
✅Day5 Classifying muffins and cupcakes (SVM Algorithm)
✅Day6 Fake news detection (Naïve Baye’s)
✅Day7 Android malware (Decision tree)
✅Day8 Credit_card Fraud detection (Random Forest)
✅Day9 Evaluating the classification model – Confusion matrix , Calculating the accuracy score.
✅Day10 Classification model selection For Breast Cancer Classification.
✅Day11 Employee Salary Prediction (Linear Regression Single Variable)
✅Day12 Advertisement and Sales Prediction (Multiple Linear Regression)
✅Day13 Generating Data points based on some equation Polynomial Regression
✅Day14 Student marks prediction (Support Vector Regression.)
✅Day15 Ice – Cream shop revenue prediction from temperature Decision Tree Regression.
✅Day16 Agriculture Price Prediction – (Random Forest Algorithm)
✅Day17 Evaluating the performance of my regression model – Root mean square error and R2 score.
✅Day18 Regression Model selection for sales forecasting.
Unsupervised Learning – Clustering
✅Day19 Crime Pattern Analysis (K-Means Clustering)
✅Day20 Customer Spending Analysis (Hierarchical Clustering)
✅Day21 Flower Species Data Visualization
✅Day22 Image Compression Using SVD(Singular Value Decomposition)
Unsupervised Learning – Association
✅Day23 Market Basket Analysis (APRIARI)
✅Day24 Market Basket Optimization / Analysis (ECLAT)
Reinforcement Learning
✅Day25 Web Ads click through rate optimization (Upper Bound Confidence)
Natural Language Processing
✅Day26 Hate Speech Detection (NLTK)
✅Day27 Loan Prediction Problem (XGBoost)
Deep Learning
✅Day28 Movie Review Classification (RNN)
✅Day29 Digits Classification (CNN)
✅Day30 AI – Cart Pole (Reinforcement Learning)