anmolg1997
A Data science professional, proficient in ML, NLP, DL and Generative AI. Exceptionally good with statistics and numbers.
Pinned Repositories
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
Car-Price-Prediction
model the price of cars with the available independent variables to be used by the management to understand how exactly the prices vary with the independent variables
Deep-Learning-Projects
Lead-Scoring
Build a logistic regression model to assign a lead score between 0 and 100 to each of the leads which can be used by the company to target potential leads.
leetcode_repo
Media-Company-Case-Study
A digital media company (similar to Voot, Hotstar, Netflix, etc.) had launched a show. Initially, the show got a good response, but then witnessed a decline in viewership. The company wants to figure out what went wrong.
mushroom_classifier_streamlit_web_app
Prediction-of-demand-for-shared-bikes
build a multiple linear regression model for the prediction of demand for shared bikes.
SpamDetector
to build a spam detector using NLTK library
Telecom-Churn-Prediction
to build a model which will predict whether a particular customer will churn or not, i.e. whether they will switch to a different service provider or not.
anmolg1997's Repositories
anmolg1997/Lead-Scoring
Build a logistic regression model to assign a lead score between 0 and 100 to each of the leads which can be used by the company to target potential leads.
anmolg1997/Prediction-of-demand-for-shared-bikes
build a multiple linear regression model for the prediction of demand for shared bikes.
anmolg1997/SpamDetector
to build a spam detector using NLTK library
anmolg1997/Telecom-Churn-Prediction
to build a model which will predict whether a particular customer will churn or not, i.e. whether they will switch to a different service provider or not.
anmolg1997/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
anmolg1997/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
anmolg1997/Bank-Customer-Clustering
Cluster customers on the basis of attributes.
anmolg1997/Deep-Learning-Projects
anmolg1997/leetcode_repo
anmolg1997/mushroom_classifier_streamlit_web_app
anmolg1997/algorithmic-trading-with-python
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
anmolg1997/anmolg1997
anmolg1997/auto_calibration_bot
anmolg1997/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
anmolg1997/awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
anmolg1997/deep_learning_for_business_values
anmolg1997/DSA-Bootcamp-Java
This repository consists of the code samples, assignments, and notes for the Java data structures & algorithms + interview preparation bootcamp of WeMakeDevs.
anmolg1997/funtime
anmolg1997/Generative-AI
anmolg1997/machine-learning
Practical Full-Stack Machine Learning
anmolg1997/NLP_ShortProjects
This repo includes short application projects over NLP
anmolg1997/PGDS
anmolg1997/PySpark-Projects
anmolg1997/Python-Projects
anmolg1997/Regression_projects
anmolg1997/Reinforcement-Learning
anmolg1997/Sentiment-Based-Product-Recommendation-System
anmolg1997/SQL-Data-Analysis-and-Visualization-Projects
SQL data analysis & visualization projects using MySQL, PostgreSQL, SQLite, Tableau, Apache Spark and pySpark.
anmolg1997/Syntactic-Processing
anmolg1997/US_airlines_tweet_analysis_streamlit
Using Streamlit; load, explore, visualize and interact with data, and generate dashboards in less than 150 lines of Python code!