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2024
DAY 30 - CAPSTONE PROJECT: PREDICTING LOAN APPROVALS USING ENSEMBLE LEARNING (RANDOM FOREST, XGBOOST)
Oct 10
DAY 29 - CREDIT RISK PREDICTION WITH LOGISTIC REGRESSION AND SVM
Oct 9
DAY 28 - BUILDING A SIMPLE CHATBOT USING TRADITIONAL NLP TECHNIQUES
Oct 8
DAY 27 - IMAGE CLASSIFICATION WITH A SMALL CNN ON CIFAR-10 DATASET
Oct 7
DAY 26- TIME SERIES FORECASTING OF ELECTRICITY CONSUMPTION USING LSTM (INTRO TO DEEP LEARNING)
Oct 6
DAY 25 - SENTIMENT ANALYSIS OF CUSTOMER REVIEWS USING TRADITIONAL NLP TECHNIQUES
Oct 5
DAY 24 - K-MEANS CLUSTERING TO SEGMENT CUSTOMERS BASED ON BEHAVIOR
Oct 4
DAY 23 - FRAUD DETECTION IN FINANCIAL TRANSACTIONS USING LOGISTIC REGRESSION AND RANDOM FOREST
Oct 3
DAY 22 - RECOMMENDER SYSTEM WITH MATRIX FACTORIZATION
Oct 2
DAY 21 - DEPLOY A MACHINE LEARNING MODEL USING FASTAPI AND HEROKU FOR REAL-TIME PREDICTIONS
Oct 1
DAY 20 - 30 DAYS 30 ML PROJECTS: CREATE A TOPIC MODEL USING LATENT DIRICHLET ALLOCATION (LDA)
Sep 30
DAY 19 - 30 DAYS 30 ML PROJECTS: CUSTOMER CHURN PREDICTION WITH XGBOOST
Sep 29
DAY 18 - 30 DAYS 30 ML PROJECTS: TIME SERIES FORECASTING OF STOCK PRICES WITH ARIMA MODEL
Sep 28
DAY 17 - 30 DAYS 30 ML PROJECTS: PREDICT DIABETES ONSET USING DECISION TREES AND RANDOM FORESTS
Sep 27
DAY 16 - 30 DAYS 30 ML PROJECTS: REAL-TIME FACE DETECTION IN A WEBCAM FEED USING OPENCV
Sep 26
DAY 15 - 30 DAYS 30 ML PROJECTS: PREDICT HOUSE PRICES WITH XGBOOST
Sep 25
DAY 14 - 30 DAYS 30 ML PROJECTS: CLUSTER GROCERY STORE CUSTOMERS WITH K-MEANS
Sep 24
DAY 13 - 30 DAYS 30 ML PROJECTS: BUILD A MUSIC GENRE CLASSIFIER USING AUDIO FEATURES EXTRACTION
Sep 23
DAY 12 - 30 DAYS 30 MACHINE LEARNING PROJECTS CHALLENGE
Sep 22
DAY 11 - 30 DAYS 30 MACHINE LEARNING PROJECTS: ANOMALY DETECTION WITH ISOLATION FOREST
Sep 21
DAY 10 - 30 DAYS 30 MACHINE LEARNING PROJECTS: RECOMMENDER SYSTEM USING COLLABORATIVE FILTERING
Sep 20
DAY 9 - 30 DAYS 30 MACHINE LEARNING PROJECTS
Sep 19
DAY 8 - 30 DAYS 30 MACHINE LEARNING PROJECTS
Sep 18
DAY 7 - 30 DAYS 30 MACHINE LEARNING PROJECTS
Sep 17
DAY 6 - 30 DAYS 30 MACHINE LEARNING PROJECTS
Sep 16
DAY 5 - 30 DAYS 30 MACHINE LEARNING PROJECTS
Sep 15
DAY 4 - 30 DAYS 30 MACHINE LEARNING PROJECTS
Sep 14
DAY 3 - 30 DAYS 30 MACHINE LEARNING PROJECTS
Sep 13
DAY 2 - 30 DAYS 30 MACHINE LEARNING PROJECTS
Sep 12
DAY 1 - 30 DAYS 30 MACHINE LEARNING PROJECTS
Sep 11