Day 11/30 Machine Learning Master Class - Sanjay

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If You Haven’t Register still, Register Now: https://docs.google.com/forms/d/e/1FAIpQLSdz6rKuAI23p_JB2XxTvFZMI1fxy3GS7Zr5FCBDdesXnj6Jug/viewform?usp=sf_link

4 in 1 Internship : - https://rzp.io/l/MLCombooffer
4 In 1 internship : international payment link :https://buy.stripe.com/cN2cP6dDvd4Q6RicNb

????19th Sept to 18th Oct (30 Days FREE)
⏰5:30 to 6:30 PM

????‍????Connect with Course Instructor : A P Sanjay Kumar - https://www.linkedin.com/in/sanjaykumar-ap
????‍????Connect with Director :M K JEEVARAJAN - https://www.linkedin.com/in/jeevarajan/

Join Telegram group : https://telegram.me/+0Mz_fb-B1mhlYjVl

❓Are You a Student, Wants to Build Your Profile filled with A.I Projects before completing your studies
❓Are You a Professor/Working Professional, who wants to switch Your High Paying Job
❓Are You a Person who doesn’t know anything about A.I, who wants to learn A.I from Zero to Hero Level

We are offering You a 30 Days FREE Machine Learning Master Class with FREE E-Certificate

What I Will Learn?
✅Day-1: Overview A.I | Machine Learning
✅Day-2: Introduction to Python | How to write code in Google Colab, Jupyter Notebook, Pycharm & IDLE
✅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 CONFUSIONMATRIX, 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.
✅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
✅Day-23: Market Basket Analysis using APIRIORI
✅Day-24: Market Basket Optimization/Analysis using ECLAT
✅Day-25: Web Ads. Click through Rate optimization using UPPER BOUND CONFIDENCE
✅Day-26: Sentimental Analysis using Natural Language Processing
✅Day-27: Breast cancer Tumor prediction using XGBOOST
✅Day-28: Bank Customer classification using ANN
✅Day-29: Pima-Indians Diabetes Classification using CONVOLUTIONAL NEURAL NETWORK
✅Day-30: A.I Snake Game using REINFORCEMENT LEARNING
#artificialintelligence #machinelearning #deeplearning #ai #free