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stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

statistics-for-data-scientists

Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"

statsbase.jl

Basic statistics for Julia

system_design

Preparation links and resources for system design questions

tableau-visualisation-car-insurance-claims

Visualizing Car Insurance Claims Data Using Tableau

tableau_carinsuranceanalysis

"Today many big organizations are sitting on large chunks of data, not knowing what to do with it. They invite consultants & business analysts to have a look at data and come up with insights that could help the organization run their business better. There is no clear set of instructions in such open-ended problems and it is expected of the consultant to do a lot of exploration first and formulate the problems themselves. These DVT projects fall into the bucket of such open-ended problems and a specific problem statement has not been given intentionally. It is expected of students to explore the data and come up with good insights. There is no right and wrong answer here. There should a clear logical story which should come out of their submission."

text_mining_resources

Resources for learning about Text Mining and Natural Language Processing

tfodcourse

thirdeye

ThirdEye is an integrated tool for realtime monitoring of time series and interactive root-cause analysis. It enables anyone inside an organization to collaborate on effective identification and analysis of deviations in business and system metrics. ThirdEye supports the entire workflow from anomaly detection, over root-cause analysis, to issue resolution and post-mortem reporting.

time-series-forecast

The data of different types of wine sales in the 20th century is to be analysed. Both of these data are from the same company but of different wines. As an analyst in the ABC Estate Wines, you are tasked to analyse and forecast Wine Sales in the 20th century.

time-series-forecasting

Forecasting sales of certain wine.

time_series_forecasting-project

For this particular assignment, the data of wine sales in the 20th century is to be analysed. As an analyst in the ABC Estate Wines, you are tasked to analyse and forecast Wine Sales in the 20th century.

tools-to-design-or-visualize-architecture-of-neural-network

Tools to Design or Visualize Architecture of Neural Network

topdeeplearning

A list of popular github projects related to deep learning

torchsnooper

Debug PyTorch code using PySnooper

unilever-data-science-poc-use-case-

Problem Definition: One of our brands is going through some major changes in business execution plans and will like to know. i. What are the major drivers for sales(EQ)? ii. Knowing the drivers, how accurately we can predict future sales for next 6 periods?

unsupervised-learning-clustering

A leading bank wants to develop a customer segmentation to give promotional offers to its customers. They collected a sample that summarizes the activities of users during the past few months. You are given the task to identify the segments based on credit card usage.

usersegmentation

Credit card user segmentation to optimize sign up incentive using a hierachical clustering

web-dev-for-beginners

24 Lessons, 12 Weeks, Get Started as a Web Developer

wine-sales-prediction

Predict wine sales using time series Forecasting

www.mlcompendium.com

The Machine Learning & Deep Learning Compendium is an open knowledge-sharing project compiled using Gitbook.

xcessiv

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

zamia-speech

Open tools and data for cloudless automatic speech recognition

zenml

ZenML 🙏: MLOps framework to create reproducible ML pipelines for production machine learning.