rbnp98
Interested in programming and problem solving. Aiming to create a career in the field of machine learning. C, C++, Python, Lisp, Octave
Kathmandu, Nepal
Pinned 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.
CaveGame-Shelve
Using the Shelve module to store the data on a file in binary format so that it can be read back whenever required.
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.
HTMLDOC-OOP
Using inheritance and composition in OOP in Python.
Restaurant-Reviews-Classification-NLP
Model to classify whether a given review about a restaurant is positive or negative.
rbnp98's Repositories
rbnp98/Best-Ad-Selection-Thompson-Sampling
Model based on reinforcement learning to solve a form of multi-armed bandit problem.
rbnp98/Best-Ad-Selection-Upper-Confidence-Bound
Model based on reinforcement learning to solve a form of multi-armed bandit problem.
rbnp98/Cats-vs-Dogs-Classification-CNN
Convolutional Neural Network to classify the given images of cats and dogs.
rbnp98/Churn-Modelling-ANN
Model to predict the customer's likelihood of stopping the usage of services of a bank.
rbnp98/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.
rbnp98/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.
rbnp98/Restaurant-Reviews-Classification-NLP
Model to classify whether a given review about a restaurant is positive or negative.
rbnp98/Classification-Template
Template for easy classification model development.
rbnp98/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.
rbnp98/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.
rbnp98/Clustering-Template
Template for easy clustering model development.
rbnp98/CSIT073_FY_Project
rbnp98/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.
rbnp98/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.
rbnp98/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.
rbnp98/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.
rbnp98/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.
rbnp98/Data-Preprocessing
Some of the mostly used data preprocessing steps before training a model.
rbnp98/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.
rbnp98/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.
rbnp98/fuse_training
rbnp98/fuse_training_balot_classification
rbnp98/K-Fold-CV-and-Hyperparameter-Tuning
Use of K-Fold cross-validation and grid search for hyperparameter tuning.
rbnp98/Leapfrog
rbnp98/manim
Animation engine for explanatory math videos
rbnp98/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.
rbnp98/mds-nlp
NLP related files for MDS TU
rbnp98/UN-Datathon
rbnp98/Updated_Project
Updated Project
rbnp98/Visualizations
Exercising my data vizualization skills in matplotlib, seaborn, plotly and cufflinks.