Rojen B.N Pradhan's repositories
BBC-Frontend-Clone
Just a try to clone the frontend design of BBC's news webpage
Best-Ad-Selection-Thompson-Sampling
Model based on reinforcement learning to solve a form of multi-armed bandit problem.
Best-Ad-Selection-Upper-Confidence-Bound
Model based on reinforcement learning to solve a form of multi-armed bandit problem.
Cats-vs-Dogs-Classification-CNN
Convolutional Neural Network to classify the given images of cats and dogs.
Churn-Modelling-ANN
Model to predict the customer's likelihood of stopping the usage of services of a bank.
Customer-Classification-for-Ads-Naive-Bayes
Model to classify customers (on the basis of their personal information) as more likely or less likely to buy a product.
Dimensionality-Reduction-Kernel-PCA
Use of PCA with kernel to reduce the dimension of a dataset to 2D so as to facilitate the vizualization of our model.
Restaurant-Reviews-Classification-NLP
Model to classify whether a given review about a restaurant is positive or negative.
Classification-Template
Template for easy classification model development.
Clustering-Hierarchical
Model to cluster customers of a mall into different clusters with the help of their personal informations. Useful for understanding the customers better.
Clustering-K-Means
Model to cluster customers of a mall into different clusters with the help of their personal informations. Useful for understanding the customers better.
Clustering-Template
Template for easy clustering model development.
Customer-Classification-for-Ads-Decision-Tree
Model to classify customers (on the basis of their personal information) as more likely or less likely to buy a product.
Customer-Classification-for-Ads-K-NN
Model to classify customers (on the basis of their personal information) as more likely or less likely to buy a product.
Customer-Classification-for-Ads-Kernel-SVM
Model to classify customers (on the basis of their personal information) as more likely or less likely to buy a product.
Customer-Classification-for-Ads-Logistic-Regression
Model to classify customers (on the basis of their personal information) as more likely or less likely to buy a product.
Customer-Classification-for-Ads-Random-Forest
Model to classify customers (on the basis of their personal information) as more likely or less likely to buy a product.
Data-Preprocessing
Some of the mostly used data preprocessing steps before training a model.
Dimensionality-Reduction-LDA
Use of Linear Discriminant Analysis to reduce the dimension of a dataset to 2D so as to facilitate the vizualization of our model.
Dimensionality-Reduction-PCA
Use of Principle Component Analysis to reduce the dimension of a dataset to 2D so as to facilitate the vizualization of our model.
K-Fold-CV-and-Hyperparameter-Tuning
Use of K-Fold cross-validation and grid search for hyperparameter tuning.
manim
Animation engine for explanatory math videos
Market-Basket-Optimization-Apriori
Model to suggest how the products in a supermarket must be placed so as to maximize the sales. Based on associative rule learning, this model can also be used to suggest the customers what products they might be interested in.
Regression-Template
Regression template for easy model development
Updated_Project
Updated Project
Visualizations
Exercising my data vizualization skills in matplotlib, seaborn, plotly and cufflinks.