✅Day 19-Android malware – Decision tree Algorithm.
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✅Day 1- Python Programming – Fundamentals
✅Day 2- Python – Tools | Syntaxes & Data Structures
✅Day 3- Machine Learning Concepts
✅Day 4- Pandas Library – Introduction
✅Day 5- Pandas – Data Structures
✅Day 6- Numpy library – Array Operations | Mathematical Functions
✅Day 7- Numpy – Sort , Search and Counting Functions | Byte Swapping
✅Day 8- Matplotlib , Histogram Using Matplotlib | I/O With Numpy
✅Day 9- Matplotlib Library – Introduction , Pyplot API | Types Of Plots
✅Day 10- Seaborn Library
✅Day 11- SKLearn Library
✅Day 12- Google Colab Notebook
✅Day 13- Data Preparation & Visualisation
✅Day 14- Data Normalization Techniques
✅Day 15- Introduction to supervised learning algorithms.
✅Day 16-Liver Disease Prediction – Logistic Regression
✅Day 17-Flower Species Identification – SVM Algorithm.
✅Day 18-Fake news detection – Naïve Baye’s
✅Day 19-Android malware – Decision tree Algorithm.
✅Day 20- Credit_card Fraud detection – Random Forest Algorithm
✅Day 21- Employee Salary Prediction – Linear Regression Algorithm
✅Day 22- Advertisement and Sales Prediction – Multiple Linear Regression Algorithm.
✅Day 23- Agriculture Price Prediction – Random Forest Regression.
✅Day 24- Flower Species Data Visualization – PCA
✅Day 25- Market Basket Analysis – APRIARI
✅Day 26- Hate Speech Detection – NLTK
✅Day 27 – Loan Prediction Problem – XGBoost
✅Day 28-Movie Review Classification- RNN
✅Day 29-Digits Classification – CNN
✅Day 30-AI – Cart Pole – Reinforcement Learning
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