Pinned Repositories
100-Days-Of-ML-Code
100 Days of ML Coding
Airline_Sentiment_Analysis
Analyzed the Twitter Reviews for the 5 major US Airlines and found insights on the improvements. Used Natural Language Processing in Python to classify an airline review text. Trained the model using a variety of machine learning algorithms such as logistic regression, random forest, knn for tweet classification prediction and tested using model evaluation techniques such as holdout evaluation, cross-validation, ROC and AUC curve to conclude the best model. Used grid search method for hyperparameter tuning to find the best tuned model with an accuracy of 77.4%
Automobile-Discussion-Forum-Analysis---NLP
To Analyze Edmund automobile discussion forum to understand the brand similarities, their association with other brands and important attributes.
bypass-paywalls-chrome
Bypass Paywalls web browser extension for Chrome and Firefox.
Calculator
Calculator in AngularJS
CEO-Tweets-Analysis---Natural-Language-Processing
Analyzed the impact of CEO tweets on stock market and made recommendations to make them more influential
CNTK
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Deep-Learning-Multi-Label-Image-Classification-Amazon-Forest
e-receipt
meetvaibhav
Vaibhav Verma Portfolio
vaibhavinsocal's Repositories
vaibhavinsocal/Calculator
Calculator in AngularJS
vaibhavinsocal/100-Days-Of-ML-Code
100 Days of ML Coding
vaibhavinsocal/Airline_Sentiment_Analysis
Analyzed the Twitter Reviews for the 5 major US Airlines and found insights on the improvements. Used Natural Language Processing in Python to classify an airline review text. Trained the model using a variety of machine learning algorithms such as logistic regression, random forest, knn for tweet classification prediction and tested using model evaluation techniques such as holdout evaluation, cross-validation, ROC and AUC curve to conclude the best model. Used grid search method for hyperparameter tuning to find the best tuned model with an accuracy of 77.4%
vaibhavinsocal/Automobile-Discussion-Forum-Analysis---NLP
To Analyze Edmund automobile discussion forum to understand the brand similarities, their association with other brands and important attributes.
vaibhavinsocal/bypass-paywalls-chrome
Bypass Paywalls web browser extension for Chrome and Firefox.
vaibhavinsocal/CEO-Tweets-Analysis---Natural-Language-Processing
Analyzed the impact of CEO tweets on stock market and made recommendations to make them more influential
vaibhavinsocal/CNTK
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
vaibhavinsocal/Deep-Learning-Multi-Label-Image-Classification-Amazon-Forest
vaibhavinsocal/e-receipt
vaibhavinsocal/meetvaibhav
Vaibhav Verma Portfolio
vaibhavinsocal/Global_SuperStore_Analysis
Analysed global superstore data and drew insights using exploratory data analysis
vaibhavinsocal/Hackathon_Portugese_Bank
Analyzed a Portuguese bank dataset to determine whether a customer would agree to a term deposit or not in a time span of less than 24 hours using machine learning techniques of Random Forest and Logistic Regression classification in R.
vaibhavinsocal/Hate-Speech-Classification
Exploring this topic as I think it is important to categorize hate speech and understand the sentiment behind it. There is a very fine line on whether to classify a tweet as hate speech and we are looking to define this threshold.To build a model which classifies tweets as hate speech/racist one or not. Also considered an alternative model which assigns these tweets a score between 0 and 1 which signifies the hatred/racism measure.
vaibhavinsocal/Head-First-Design-Patterns
Code for Head First Design Patterns book (2014)
vaibhavinsocal/HR-Analytics--Who-will-leave-the-company
Analyzed an HR dataset with the aim to help companies to solve the employee attrition problem. Data exploration analysis was conducted on the dataset to derive insights and a classification model was recommended to predict whether an employee is likely to leave the company.
vaibhavinsocal/html2mobi
A python script to convert webpages into .mobi format for reading on Kindle
vaibhavinsocal/Instagram-Posts-Engagement-Analysis-Natural-Language-Processing
Engagement analysis of the Instagram posts for National Geography using image labels and captions
vaibhavinsocal/opmshark
Vaibhav Verma Portfolio
vaibhavinsocal/programmersurvey
Html Javascript based small programmer survey
vaibhavinsocal/Random-Portfolio-vs-Benchmark-Strategy
Python Monte Carlo Simulation to model returns from randomly generated portfolios against a benchmark index.
vaibhavinsocal/Superbowl-54-Predictions
Analyzed the regular season and play off data for the NFL and predicted the scores for the final Superbowl 54. Ensemble model using Alteryx and R predicted Kansas City Chiefs to win with a score of 30. Voila, Kansas did win with a score of 31
vaibhavinsocal/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
vaibhavinsocal/TwitterApp
Created a Twitter app
vaibhavinsocal/winter12
start