❓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
