Let The Data Confess's repositories
Deep-Learning-Books
Books To Master Deep Learning
Machine-learning-model-development-on-Microsoft-Azure
Machine learning model development on Microsoft Azure
letthedataconfess
About Let The Data Confess
Data-analysis-part-I
Data analysis
Data-anaylsis-part-2
Data Visualization
Image-scraping-using-python
Image scraping using python from Google
Course-NLP
A Code-First Introduction to NLP course
Data-parsing-in-python
Parsing of different data format using python
Techniques-to-handle-class-imbalance
Techniques to handle class imbalance
USC-Distantly-supervised-Relation-Extraction-System
Distantly Supervised Relation Extraction
Build-ML-model-using-Azure
Build ML model using Microsoft Azure
error-metrics
error metrics for classification and regression
explanation-of-chi-square-test
chi square test
Feature-Engineering-Methods
Feature Engineering Methods
Feature-Selection-using-genetic-algorithm
Feature selection technique using genetic algorithm
Image-Pre-processing-using-OpenCV
Image-Pre-processing-using-OpenCV
Implementation-of-Chat-Bot-for-Landmark-Detection-using-Deep-Learning
Implementation of Chat Bot for Landmark Detection using Deep Learning
K-means-clustering
K Means Clustering
Kaggle-competitions
LANL eathquake prediction
Keras-triplet-loss-mnist
Keras model trained using semi-hard triplet Loss (tensorflow function) on MNIST
Toxic-comments-classification
Toxic comments classification using BERT