Anudeep Vanjavakam's repositories
Income-Classification-of-people-in-US
a predictive model to determine the income level for people in US. Imputed and manipulated large and high dimensional data using data.table in R. Performed SMOTE as the dataset is highly imbalanced. Developed naïve Bayes, XGBoost and SVM models for classification
disaster_response_NLP
This Project is in collaboration with Figure Eight. The dataset contains pre-labelled tweets and messages from real-life disaster events. The project aim is to build a Natural Language Processing (NLP) model to categorize messages on a real time basis.
lit_or_not_on_reddit
This app searches reddit posts and comments to determine if a product or service has a positive or negative sentiment and predicts top product mentions using Named Entity Recognition
ML_for_Hackers
Code accompanying the book "Machine Learning for Hackers"
Time-Series-Analysis
Exploring Time Series in R - This is an exploration of time series analysis that includes moving average, holt-winters smoothing, and ARIMA models.
video_games_rating_analysis
EDA for more than 30K game ratings collected from [IGDB API](https://api-docs.igdb.com/#about) using [igdb-api-v4 for python](https://github.com/twitchtv/igdb-api-python). This notebook explores any common trends for games that have ratings from igdb and external critics.
anudeepvanjavakam1
Anudeep's GitHub Profile
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
churn_prediction
A flask app to predict customer churn for a subscription service business
greengov-challenge
Entry into the 2016 CA Water Board Data Innovation Challenge
ImageClassifier-Pytorch
Project code for Udacity's AI Programming with Python Nanodegree program: In this project, I developed code for an image classifier built with PyTorch, then converted it into a command line application.
Recommendations_with_IBM
In the IBM Watson Studio, there is a large collaborative community ecosystem of articles, datasets, notebooks, and other A.I. and ML. assets. Users of the system interact with all of this. This is a recommendation system project to enhance the user experience and connect them with assets. This personalizes the experience for each user.
anudeepvanjavakam1.github.io
My Portfolio - hugo static site with Toha theme
Machine-Learning-Stanford-University
Learnt to apply the most advanced machine learning algorithms to problems such as anti-spam, image recognition, clustering, building recommender systems, and many other problems. I am also learning how to select the right algorithm for the right job, as well as becoming expert at 'debugging' and figuring out how to improve a learning algorithm's performance
Mobile-Games--Cookie-Cats--A_B-Testing-with-bootstrap-analysis
Cookie Cats is a hugely popular mobile puzzle game developed by Tactile Entertainment. In this project, we will look at the impact of a in-game feature change on player retention.
RateComparison
Easily compare the revenue, equity, and demand implications of different water rate structures.
stackoverflow
Findings from Stackoverflow 2017