Video by pantechelearning via YouTube
Source

Attendance – https://forms.gle/zpGrUiw6988mFyR69

Exclusive 1 Month Internship on Machine learning
Fee: Rs.1999 | Discount Fee: Rs.799
Registration link – https://rzp.io/l/CH5RwjOIo

*In this Internship you will get,*
👉 All Recording videos
👉 All PPTs are downloadable
👉 Download 7 Projects code
👉 VIP Group for clarification
👉 Hackathon session
👉 Don’t need Attendance for Internship
👉 Internship/participation certificate

*LAST DATE TO REGISTER FOR THE INTERNSHIP – 15.06.2024*
————————————————————————————————————
*4 IN 1 BUNDLE COMBO OFFER*
Fee: Rs.2999 | Discount Fee: Rs.1299
Registration link – https://rzp.io/l/c7aUT6QzF

*MACHINE LEARNING + ADVANCED PYTHON + PYTHON PROGRAMMING + AWS(MLOps)*

*In this Internship you will get,*
👉 90 Days of sessions
👉 3 Internship Certification
👉 Download Project codes
👉 Downloadable Presentations
👉 Internship Confirmation Letter
👉 4 Hackathon session
👉 Community Groups

*LAST DATE TO REGISTER FOR THE COMBO – 15.06.2024*

Machine Learning Masterclass Agenda 21 Days
Day – 1 : Introduction, Python Installation, Syntax, variables, data types
Day – 2 : Overview of Python Programming
Day – 3 : Machine learning introduction, pathway, data collection
Day – 4 : Pandas Library
Day – 5 : Exploratory data analysis project – Olympics Dataset
Day – 6 : Visualization with Matplotlib & Seaborn Library
Day – 7 : Exploratory data analysis project with pandas & visualization libraries
Day – 8 : scikit-learn library : Scaling, encoding, handling null values
Day – 9 : scikit-learn library : Outlier detection & handling, imbalanced dataset
Day – 10 : scikit-learn library : train test split, feature selection
Day – 11 : Machine learning algorithms : linear model, support vector machines
Day – 12 : Hyperparameter optimization, Metrics
Day – 13 : Machine learning classification project – Credit card fraud detection
Day – 14 : Machine learning classification project – Customer Churn Prediction
Day – 15 : Machine learning Regression project – Calories burnt prediction
Day – 16 : Machine learning Regression project – Rainfall prediction
Day – 17 : Unsupervised learning Introduction – KMeans, DBSCAN, Hierarchical
Day – 18 : Unsupervised learning Project – Spotify music clustering
Day – 19 : Anomaly detection Algorithm and Project – Credit card fraud detection
Day – 20 : Reinforcement Learning Introduction
Day – 21 : Reinforcement learning project – AI player for Mario Game

Go to Source