Deepansh Parab's repositories
CustomerSegmentation
By means of this project I am trying to create a value-based customer segmentation model using RFM(Recency, Frequency, Monetary) analysis in python using pandas, numpy and matplotlib
EM-623-Stock-Market-Prediction-
This was my final project for EM-623, where in we used Machine learning techniques to evaluate past data pertaining to the stock market and world affairs of the corresponding time period, in order to make predictions in stock trends. We built a model that will be able to buy and sell stock based on profitable prediction, without any human interactions. The model uses Natural Language Processing (NLP) to make smart “decisions” based on current affairs, article, etc. With NLP and the basic rule of probability, our goal is to increases the accuracy of the stock predictions.
AICamp_demo_201807
Demo files for AICamp tutorial on GOAI/GPU DataFrame
DataMining
The repo contains all my codes for Data Analysis on MNIST dataset. The algorithms used were as follows: Random Forest, SVM, KNN, Convolution Neural Nets.
EnergyStarScorePredicitionNYC
To predict the Energy Star Score of a building using energy data and interpret the results to find the factors which influence the score.
Market_Risk_Management_of_Stock_Market_Trends_and_Dynamic_Portfolio_Allocation
Time Series Prediction of Stock Market Trends
Optimal-Coupon-Targeting
The project focuses on finding those users who might be on the tipping point of reordering a product, and to incentivize them to reorder by sending them targeted coupons.
Flask
Basic Flask applications
Machine_Learning_Tutorials
Code, exercises and tutorials of my personal blog ! 📝
ML-Learning
This repo contains my practice codes for ml-learning with tensorflow & python.
NLP
Natural Language Processing with NLTK
Pandas-Revision
Revising pandas again..
pythonSqlite3
This repo contains getting started with sqlite3 with python : Create queries Insert queries Update queries Delete queries
Sales-Analytics--Prediction-Product-Backorders
The following repository contains the R code and analysis for my SALES ANALYSIS project covering techniques likes SMOTE, H20 Machine Learning and Threshold selection in H20 for achieving optimal predictive and analytic accuracy.
tensorflow
Computation using data flow graphs for scalable machine learning
Text-Mining-Projects
This repo contains Natural Language Processing projects TextAnalysisAndEntityResolution - ngrams, Word2Vec, TF-TDF Tweeter Sentiment Analysis - POS Tagging, Google NLP Segmentation of Twitter tweets(Twitter-Tweets-Analysis) Topic Classification using LDA
TimeSeries
The Repo contains all my time series model including (AR, MA, ARIMA, ARMA) for Retail based industry
WebAnalytics-BIA-660A-
All the assignments and labs for BIA-660A
WebDevWithPython
Web development using python