Free Machine Learning Master Class!

Become a Machine Learning Expert!!!

in 30 Days! Full Handson From scratch!!

Join the 30 Day's Machine Learnig Master Class...

🗓️ Jan 3 2022 - Feb 10 2022

🕗 8.00 PM - 9.00 PM

Join + Attend + Learn

* E Certificate will be provided

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Tools Covered in 30 Days Challenge

30-HOUR "LIVE" WORKSHOP

Learn How You Can Build Your own Machine Learning Projects from scratch.  

SUPERVISED LEARNING – CLASSIFICATION & REGRESSION – UNSUPERVISED LEARNING – CLUSTERING – UNSUPERVISED LEARNING – ASSOCIATION – REINFORCEMENT LEARNING – NATURAL LANGUAGE PROCESSING – DEEP LEARNING

This session is 100% FREE

Without Paying For Any Expensive Courses, You can build your portfolio and achieve your Dream JOB.

What all Will you Learn?

Course Overview

✅ Day-1: Overview A.I | Machine Learning
✅ Day-2: Introduction to Python | How to write code in Google Colab, Jupyter Notebook, Pycharm & IDLE

SUPERVISED LEARNING – CLASSIFICATION & REGRESSION

✅ Day-3: Advertisement Sale prediction from an existing customer using LOGISTIC REGRESSION
✅ Day-4: Salary Estimation using K-NEAREST NEIGHBOR
✅ Day-5: Character Recognition using SUPPORT VECTOR MACHINE
✅ Day-6: Titanic Survival Prediction using NAIVE BAYES
✅ Day-7: Leaf Detection using DECISION TREE
✅ Day-8: Handwritten digit recognition using RANDOM FOREST
✅ Day-9: Evaluating Classification model Performance using CONFUSION MATRIX, CAP CURVE ANALYSIS & ACCURACY PARADOX
✅ Day-10: Classification Model Selection for Breast Cancer classification
✅ Day-11: House Price Prediction using LINEAR REGRESSION Single Variable
✅ Day-12: Exam Mark Prediction using LINEAR REGRESSION Multiple Variable
✅ Day-13: Predicting the Previous salary of the New Employee using POLYNOMIAL REGRESSION
✅ Day-14: Stock price prediction using SUPPORT VECTOR REGRESSION
✅ Day-15: Height Prediction from the Age using DECISION TREE REGRESSION
✅ Day-16: Car price prediction using RANDOM FOREST
✅ Day-17: Evaluating Regression model performance using R-SQUARED INTUITION & ADJUSTED R-SQUARED INTUITION
✅ Day-18: Regression Model Selection for Engine Energy prediction.

UNSUPERVISED LEARNING – CLUSTERING

✅ Day-19: Identifying the Pattern of the Customer spent using K-MEANS CLUSTERING
✅ Day-20: Customer Spending analysis using HIERARCHICAL CLUSTERING
✅ Day-21: Leaf types data visualization using PRINCIPLE COMPONENT ANALYSIS
✅ Day-22: Finding Similar Movie based on ranking using SINGULAR VALUE DECOMPOSITION

UNSUPERVISED LEARNING – ASSOCIATION

✅ Day-23: Market Basket Analysis using APIRIORI
✅ Day-24: Market Basket Optimization/Analysis using ECLAT

REINFORCEMENT LEARNING

✅ Day-25: Web Ads. Click through Rate optimization using UPPER BOUND CONFIDENCE

Natural Language Processing

✅ Day-26: Sentimental Analysis using Natural Language Processing
✅ Day-27: Breast cancer Tumor prediction using XGBOOST

DEEP LEARNING

✅ Day-28: Pima-Indians Diabetes Classification
✅ Day-29: Covid-19 Detection using CNN
✅ Day-30: A.I Snake Game using REINFORCEMENT LEARNING

Here’s What Others Saying…

What you will get?

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