Posting all the things learnt in my #100daysofcode journey.
DAY 1-FEATURE SCALING
DAY 2-TENSORFLOW
DAY 3-EXPLORING KERAS
DAY 4-NEURAL NETWORKS AND DEEP LEARNING BY ANDREW NG WEEK 1
DAY 5-NEURAL NETWORKS AND DEEP LEARNING BY ANDREW NG WEEK 2
DAY 6-NEURAL NETWORKS AND DEEP LEARNING BY ANDREW NG WEEK 2(continued)
DAY 7-NEURAL NETWORKS AND DEEP LEARNING BY ANDREW NG WEEK 3
DAY 8-NEURAL NETWORKS AND DEEP LEARNING BY ANDREW NG WEEK 3(continued)
DAY 9-NEURAL NETWORKS AND DEEP LEARNING BY ANDREW NG WEEK 4
DAY 10-NEURAL NETWORKS AND DEEP LEARNING BY ANDREW NG WEEK 4(continued)
DAY 11-DEEP LEARNING USING FASHION MNIST DATASET
DAY 12-DEEP LEARNING USING BOSTON HOUSING DATASET
DAY 13-IMDB DATASET(using tf.hub)
DAY 14-15 -- IRIS DATASET USING tf.estimators
DAY 16-IMAGE CLASSIFICATION
DAY 17-OBJECT DETECTION
DAY 18-21 MACHINE LEARNING REVISION
DAY 22-23 LOAN PREDICTION USING LOGISTIC REGRESSION
DAY 24-25 LOAN PREDICTION USING DECISION TREE CLASSIFIER