akashnaskar Goto Github PK

akashnaskar

amazon-fashion-discovery-engine

Recommend similar apparel searched by user on Amazon.

amazon-recommendation-engine

Built a content based recommendation engine for recommending apparel items or products at Amazon, using text and image data retrieved from website.

amazon_fine_foods_reviews

Given a review in Amazon, determine whether the review is positive (Rating of 4 or 5) or negative (rating of 1 or 2).

coursera-capstone-project-machinelearning-python

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-ml

deploy_machine_learning_model_on_flask_app

It's a Git Repo containing source code, supported docker files, multiple linear regression pickle file and other related contents of Flask App and Machine Learning Model.

dsa_faang_python

DSA in Python from basic to advanced. Improving my programming skills here.

dsa_faang_python2

duplicate_questions_webapp

email_campaign_effectiveness_prediction

Email Campaign Effectiveness Prediction

end_to_end_ml_project

football-tracking-data-from-tv-broadcast

get football tracking data from TV broadcast using yoloV5, Deep sort

gym-management-system

implementing-tensorflow

A series of Jupyter notebooks that walk you through the fundamentals of Deep Learning in Python using TensorFlow 2 (mostly, LOL)

java_application

java_miniproj

javamini

lstm_donors_choose

Keras functional api on DonorsChoose dataset.

machinelearning_from_pure_scratch

nlp_research

Contains all project codes regarding my research project.

predicting-how-effective-an-email-campaign-will-be

Predicting how effective an email campaign will be.

predictive-maintenance-using-ml

Predictive Maintenance using Machine Learning

resume-and-cv-summarization-and-parsing-with-spacy-in-python

Resume and CV Summarization and Paring with Spacy in Python

santander_customersatisfaction

In this problem, a company wants to find out which customers are mostly using these services. So that it can focus more on those customers and serve them better using Loyalty score • After trying with logistic regression,svm,RF, DT we found out Lightgbm performs fastest and gives the best score

sentiment_analysis_of_amazon-products

Project on the sentiment analysis of Amazon reviews based on ML algorithms

stackoverflow-tag-prediction

A Machine Learning Case Study to predict the tags for a question on Stackoverflow. This is a Multi-label classification where a data point can belong to more than one class.

statistics-for-data-science

Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to know data in a much better way and explains the behavior of the data based upon certain factors. It has many Elements which help us to understand the data better that includes Probability, Distributions, Descriptive Analysis, Inferential Analysis, Comparative Analysis, Chi-Square Test, T Test, Z test, AB Testing etc.

taxi_time_pred

Our objective is to build a model that predicts the total ride duration of taxi trips in New York City. For this we were given a primary dataset released by the NYC Taxi and Limousine Commission, which included pickup time, geo-coordinates, number of passengers, and several other variables.