Pranshu Kumar's repositories
Machine_Learning_Dataquest
Contains all important takeaways from the Machine Learning step in the Dataquest Data Scientist path.
AINE-AI-Predicting-Customer-Churn-Telecom
contains data and files related to the predictive analytics project for reducing monthly churn by identifying high risk customers well in advance
Predicting-Credit-Card-Approvals
Build a machine learning model to predict if a credit card application will get approved.
anomaly-detection
contains .ipynb and .py files that cover description and application of anomaly detection techniques using unsupervised machine learning algorithms.
AWS-Certified-Cloud-Practitioner-Notes
Notes compiled based on AWS E-Learning lessons and transcripts
AWS_Machine_Learning_Reference
contains files relating to AWS training courses
Cross_Sell_Prediction
Building a model to predict whether a customer would be interested in Vehicle Insurance for company communication strategy for increasing customer base and optimizing business model and revenue.
Data-Manipulation-Visualization-using-Python-AINE-AI
contains Python notebook containing essential code related to Project 6 as part of AINE AI Internship program.
DataCamp-Projects
Notebooks of Datacamp projects
git_cheatsheet
contains text file with all important Git commands needed in development setting
github-actions-refresher
this repo. was part of a GitHub Actions refresher course
Hashicorp-certified-Terraform-Associate-resources
This repository contains all important guides and resources on Terraform, and may act as reference material in the future.
INRIA-ML-Scikit-Learn
This repo contains all the important Python scripts and course material that was part of the self-paced course on ML by the French National Research Institute for digital science and technology
Market-Mix-Modeling-Sales-Advertising-Data
creating a Marketing Mix Model (MMM) to determine market attribution on marketing and sales data to estimate the impact of various marketing channels.
MLOPS_Specialization_DeepLearning.ai
This repo. contains important lecture notes and course material from the DeepLearning.ai's MLOPS specialization
mslearn-tailspin-spacegame-web
Code used in Microsoft Learn modules to support Azure DevOps
Olist-Market-Basket-Analysis
use Olist.com data to Identify patterns in consumer decision-making, use metrics to evaluate the properties of patterns, Construct association rules that provide concrete recommendations for businesses, and perform pruning to identify useful rules.
PANDAS-TUTORIAL
Jupyter Notebooks and Data Sets for Pandas Library
Performance-Comparision-of-Regularized-and-Unregularized-Regression-Models
focus on performance evaluation and comparison of Unregularized Classical Multilinear Regression Models with Regularized Multilinear Regression Models on a dataset.
Pocket-Gems-Take-Home-Assignment
contains datasets and files relating to the 'Pocket Gems' problem statement of finding user's probabilities of conversion.
Rainfall-Prediction-Australia
implemented a predictive model on Rainfall Dataset to predict whether or not it will rain tomorrow in Australia.
SQL-w3Recource
contains SQL code for important SQL joins questions on w3resource.com
TextAnalytics-NLTK-NLP
contains Jupyter notebook covering important concepts around text processing, classficiation using NLTK
The_Data_Science_of_Marketing
contains coursework including datasets and code as part of 'The Data Science of Marketing' course on Linkedin Learning.
TMobile-Nat_Dev_Analytics_EC_Modeling
used Machine Learning to predict time to approve construction work