nitin26gupta Goto Github PK
Name: Nitin Gupta
Type: User
Bio: I am building and leading capabilities in AI/ML to solve hard problems. Worked on wide ranging problems in Computer Vision, NLP, Deep Learning and Classical ML.
Location: Gurgaon
Nitin Gupta's Projects
age-detection-of-indian-actors
Using IMFDB
amazon-textract-serverless-large-scale-document-processing
Process documents at scale using Amazon Textract
cnn-projects
All Convolutional Neural Network Projects
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
descriptive-statistics-cardio-fitness
Identify the profile of the typical customer for each treadmill product offered by CardioGood Fitness. The market research team decides to investigate whether there are differences across the product lines with respect to customer characteristics. The team decides to collect data on individuals who purchased a treadmill at a CardioGoodFitness retail store during the prior three months. The data are stored in the CardioGoodFitness.csv file.
nlp-asr_with_neural_networks
Deep neural network that functions as part of an end-to-end automatic speech recognition (ASR) pipeline
nlp-machine-translation
Deep neural network that functions as part of an end-to-end machine translation pipeline.
nlp-parts_of_speed_tagging-hmm
Parts of Speech Tagging using Hidden Markov Model
nlpprojects
Different NLP Projects that i have worked upon.
project-postgres
Udacity data engineering nanodegree project
python-scripts-trello
All the python-scripts for Trello
sequence-modeling
All Sequence-modeling projects will be added in this repository.
visualizations---seaborn-and-matplotlib
Covers basic Matplotlib Chart and Seaborn andThe basic steps to create Plots with Seaborn
zomato-bengaluru-restaurant-data-complete-eda-kaggle
The basic idea of analyzing the Zomato dataset is to get a fair idea about the factors affecting the establishment of different types of restaurant at different places in Bengaluru, aggregate rating of each restaurant, Bengaluru being one such city has more than 12,000 restaurants with restaurants serving dishes from all over the world. With each day new restaurants opening the industry has’nt been saturated yet and the demand is increasing day by day. Inspite of increasing demand it however has become difficult for new restaurants to compete with established restaurants. Most of them serving the same food. Bengaluru being an IT capital of India. Most of the people here are dependent mainly on the restaurant food as they don’t have time to cook for themselves. With such an overwhelming demand of restaurants it has therefore become important to study the demography of a location. What kind of a food is more popular in a locality. Do the entire locality loves vegetarian food. If yes then is that locality populated by a particular sect of people for eg. Jain, Marwaris, Gujaratis who are mostly vegetarian. These kind of analysis can be done using the data, by studying the factors such as • Location of the restaurant • Approx Price of food Theme based restaurant or not Which locality of that city serves that cuisines with maximum number of restaurants • The needs of people who are striving to get the best cuisine of the neighborhood • Is a particular neighborhood famous for its own kind of food.
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