hiteshtripathi

Applied-Data-Science-with-Python_Coursera

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.

BayesianMMM

(ml) - python implementation of bayesian media mix modelling with shape and carryover effect

Budget-Optimization-in-Ecommerce-using-Market-Mix-Modelling

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

Clinical.SAS

Comparison-Impact-COVID-19-using-Time-series-modelling

Comparison of COVID-19 Inpact using Time Series Modelling - SARIMAX, Prophet, neural networks and XGBOOST

Digital-Marketing-Analytics

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

Exploratory-Data-Analysis-EDA-Tutorials

Apply EDA to a real-world dataset which is useful for data science project. EDA on insurance dataset with insurance with cost comparison.

HackerRank

HackerRank solutions

hiteshtripathi

Timeseries-Analysis-and-Forecasting

This Repository consistis of Lectures and exercises from course Time series analysis & forecasting models in Python Lectures based and related to Time Data Visualization|AR|MA|ARIMA|Regression| ANN Course is from Available on Udemy

hiteshtripathi/Timeseries-Analysis-and-Forecasting

This Repository consistis of Lectures and exercises from course Time series analysis & forecasting models in Python Lectures based and related to Time Data Visualization|AR|MA|ARIMA|Regression| ANN Course is from Available on Udemy

hiteshtripathi/Clinical.SAS

hiteshtripathi/Applied-Data-Science-with-Python_Coursera

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.

hiteshtripathi/BayesianMMM

(ml) - python implementation of bayesian media mix modelling with shape and carryover effect

hiteshtripathi/Budget-Optimization-in-Ecommerce-using-Market-Mix-Modelling

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

hiteshtripathi/Comparison-Impact-COVID-19-using-Time-series-modelling

Comparison of COVID-19 Inpact using Time Series Modelling - SARIMAX, Prophet, neural networks and XGBOOST

hiteshtripathi/Digital-Marketing-Analytics

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

hiteshtripathi/Exploratory-Data-Analysis-EDA-Tutorials

Apply EDA to a real-world dataset which is useful for data science project. EDA on insurance dataset with insurance with cost comparison.

hiteshtripathi/HackerRank

HackerRank solutions

hiteshtripathi/hiteshtripathi

hiteshtripathi/HPLC-Analysis-using-Python

hiteshtripathi/learn-data-science-using-sas-studio

Source code for 'Learn Data Science Using SAS Studio" by Engy Fouda.

hiteshtripathi/LSTM-Neural-Network-for-Time-Series-Prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

hiteshtripathi/Market-Mix-Modeling

Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales

hiteshtripathi/Marketing-Mix-Model

hiteshtripathi/media-mix-modelling-analysis

Analysing the challenges and opportunities in Media Mix Modelling using sales and media spending time series data.

hiteshtripathi/medical-resource-optimization

A framework to generate an optimal hospital restart plan, balancing hospital economics, efficient use of resources and quality of clinical care.

hiteshtripathi/ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

hiteshtripathi/Novel-Coronavirus19-cases

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.

hiteshtripathi/numpy-tutorials

NumPy tutorials & educational content in notebook format

hiteshtripathi/Predicting-drug-abuse-behaviour

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

hiteshtripathi/Project-Linear-Regression-with-Numpy

Performing coding for Linear Regression using simple python (and its libraries) without use of specialized (Scikit learn, Tensorflow, Keras, Pytorch) libraries to learn.

hiteshtripathi/prometheus

The Prometheus monitoring system and time series database.

hiteshtripathi/Python-for-Everbody-Cousera

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.

hiteshtripathi/Python-Learnings

Python learnings during practice and details regarding basic concepts like: data structures, python statements, loops, magic/ dunder methods, OOPs and many more concepts...

hiteshtripathi/Python-To-Do-List-Program

Build a To-Do List using Simple Python coding, Practical Coursera Project on HandsOn Python To Do List Program.

hiteshtripathi/SAS-Mini-Projects

A Collection of SAS Projects covering macro management, PROC MCMC, disproportionality measures, and much more.

hiteshtripathi/stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

hiteshtripathi/Timeseries

edureka

hiteshtripathi/TimeSeriesAnalysisWithPython