Jalaj Thanaki
jalajthanaki
I'm a data scientist by profession and data science researcher by practice. I like to deal with data science related problems.
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This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"
Credit Risk analysis by using Python and ML
Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.
A curated list of repositories for my book Machine Learning Solutions.
This repository contains the code for building movie recommendation engine.
This repository contains code how to build job recommendation engine using Kaggle 'Job Recommendation Challenge' dataset
Repositories
92Credit Risk analysis by using Python and ML
This is the code for the "Introduction to Data Science and How to Do Linear Regression" workshop session by Jalaj Thanaki at IIT-Bombay on 24th August, 2017
Introduction and Career Guide for Data Science enthusiasts
Workshop content for Pune Artificial Intelligence meetup and Pune Machine Learning meetup
Extractive summarizationof medical transcriptions
This repository contains the bunch of cheat sheets of diffenrent python libraries which are used in order to develop data science application.
This repository contains code how to build job recommendation engine using Kaggle 'Job Recommendation Challenge' dataset
I have used FER2013 dataset and try to build the Facial emotion recognition using TensorFlow
I have used FER2013 dataset and try to build the Facial emotion recognition using Keras
A curated list of repositories for my book Machine Learning Solutions.
DJIA index prices of 10 years and NYtimes news articles headline has been used to predict the DJIA index prices
Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.
I have built a model which will predict the sentiment of movie reviews. I used Naive-Bayes, SVM, and RNN+LSTM based model to obtain really good result.
Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.
This repository contains the code for building movie recommendation engine.
No description provided.
This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
This repository contains the code for basic kind of E-commerce recommendation engine. By using the concept of TF-IDF and cosine similarity, we have built this recommendation engine.
This is base-line approach for building job recommendation engine
Sequence to sequence recipe summarization
No description provided.
No description provided.
Built the chatbot using rule-based approach.
We used Deep Q Network algorithm the buit the gaming bot for Flappy Bird.
Used DQN (Deep Q Network) in order to build the gaming bot
Repo for the Deep Reinforcement Learning Nanodegree program
This repository contains the code for real-time object detection.I have used darkflow and YOLO pre-trained model.
This repository contains the code for real-time object detection. I'm using video stream coming from webcam. MobileNet-SSD and OpenCv has been used as base-line approach. TensorFlow object detection API has been used in revised approach.
This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview