Vishal Kumar's repositories
SPAM-HAM-Filter-using-NLP
In this notebook, I have created a SPAM and HAM filter predictions on the dataset Spam ham collection from UCI repository
RNN-on-PTB-using-LSTM
In this notebook, I have applied LSTM on the famous pen tree bank dataset.
911_calls
Datasets from Kaggle competition
ANN
ANN on Churns modelling
Connect4API
Play 2 player Connect 4 game using API
datasharing
The Leek group guide to data sharing
docker-cron
Cron Scheduler as Docker container
JobPortal
Simple React application to view data from API
PySpark_ALS_MovieLens-
In this repository, I have two notebooks. First is implementing ALS on PySpark dataframes. Second is implementing ALS on PySpark RDD.
Django-GraphQl-BlogAPI
Tried 101 implementation of Django + Graphene
EDA_Caterpiller-Dataset
Exploratory data analysis on the Carterpiller dataset from Kaggle competition.
KNN
K nearest neighbours
Linear-regression-using-TenserFlow
In this python notebook, I have used tensorflow for fitting a linear regression model on the artificial data.
LoanLending-Prediction
In this repository I have predictions on the data from a loan lending site. This is a real world data analysis. I have done a simple classification of data using Random Forest and Decision tree.
Logistic-regression-Using-TensorFlow
Logistic Regression and NN on MNIST dataset using tensorflow
Movie-recommendation-system
In this notebook, I have created an example how the movies are recommended to a user based on contents. I have used data from the popular MovieLens website.
PCA-using-Python
In this python notebook, I have used PCA on the dataset with very large dimension to reduce its feature using Principal component analysis(PCA)
R_Handbook
my repository
Real-Time-Bus-Tracking
Problem: One of the famous data scientist Travis travelled to Chicago and took Clark Street #22 bus up to his office. Unfortunately, He lefts his suitcase on the bus. So, my task was to get that suitcase back. Solution: Looking forward to this problem, I decided to track the bus that Travis took from the Clark Street. So, I hacked transit data from the website of Chicago Transit Authority(CTA) and tried to monitor the bus using its real-time GPS tracking. I gathered the data from the website and parse the XML data using python and find the suspect buses by getting the ID of the bus and monitor there latitude and longitude till they reach back to Travis office.
rnn-lstm-ptb
A walkthrough of the TensorFlow tutorial on LSTM
Seaborn-Visualization
Visualization via seabon package
Stocks_Analysis
This repository tells how to analyse on the stocks.
SVC-on-Cancer-data
SVC model predictions on cancer dataset of sklearn and also used GridSearchCV to find the best parameters for the SVC model
SVM_Classifier
SVM model on Titanic dataset