Hitesh Tripathi's Projects
This repo consists of assignments and various projects which i came across in this course. Whole specialization is a new level of Learning for Python (Comparing to Python for everybody specialization), consists of 4 courses and a capstone project.
(ml) - python implementation of bayesian media mix modelling with shape and carryover effect
To create a market mix model for ElecKart (an e-commerce firm from Ontario, Canada) for several products categories - to observe the actual impact of various marketing variables over the past and recommend the optimal budget allocation for different marketing levers for the next year. Built several Linear Regression models like Additive, Multiplica
Comparison of COVID-19 Inpact using Time Series Modelling - SARIMAX, Prophet, neural networks and XGBOOST
This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analysis, Customer Segmentation, Recommendation Systems, and Social Media Analytics
Apply EDA to a real-world dataset which is useful for data science project. EDA on insurance dataset with insurance with cost comparison.
HackerRank solutions
Source code for 'Learn Data Science Using SAS Studio" by Engy Fouda.
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Formatted datasets for Machine Learning With R by Brett Lantz
Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales
Analysing the challenges and opportunities in Media Mix Modelling using sales and media spending time series data.
A framework to generate an optimal hospital restart plan, balancing hospital economics, efficient use of resources and quality of clinical care.
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Using multidimensional LSTM neural networks to create a forecast for Bitcoin price
Analysis of pandemic of starting of new decade (Dec -19 onwards), Novel-Corona (SARS COV-2) virus, NCov-19 cases affected different countries around the World.
NumPy tutorials & educational content in notebook format
Source code for 'Practical Business Analytics Using SAS' by Shailendra Kadre and Venkat Reddy Konasani
This repository contains all the code files and output of the project carried out on the topic- Predicting Drug Abuse Behavior using Deep Learning technologies. The keywords used in the project are - drugs, BERT, Tweepy, Twitter, timeline, students, depression, bag of words, drug abuse behavior, hash, cosine similarities, LDA, multinomial naive bayes, linear support vector machine, random forest classifier, NLP, deep learning
Performing coding for Linear Regression using simple python (and its libraries) without use of specialized (Scikit learn, Tensorflow, Keras, Pytorch) libraries to learn.
The Prometheus monitoring system and time series database.
Current repository contains all assignments and course materials from one of the best MOOC of python on web "Python for Everybody Specialization" provided by Coursera and University of Michigan.
Python learnings during practice and details regarding basic concepts like: data structures, python statements, loops, magic/ dunder methods, OOPs and many more concepts...
Build a To-Do List using Simple Python coding, Practical Coursera Project on HandsOn Python To Do List Program.
A quick guide for SAS.
SAS scripts for clinical trials applications including generating SDTM domains, ADaM datasets, and Define.xml files