ChandSuma

ChandSuma

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dataeng

Repository fo Data Engineering Course

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LeetCode-Solutions

:octocat: (Weekly Update) Python / Modern C++ Solutions of All 1835 LeetCode Problems

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professional-services

Common solutions and tools developed by Google Cloud's Professional Services team

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system-design

Preparing for system design interview questions

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Beyond-LeetCode-SQL

Analysis of SQL Leetcode and classic interview questions. Common pitfalls, anti-patterns and handy tricks are discussed. Sample databases are provided.

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machine-learning-systems-design

A booklet on machine learning systems design with exercises

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MLInterview

:octocat: A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!

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product_management

Tibor Zahorecz product management projects.

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SQL_Hypothesis_Testing_Workflow

SQL & A/B / Hypothesis Testing to inform business intelligence

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product-with-google-maps

Project done in collaboration with PM from Google in Product Management course

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Python-Data-Products-for-Predictive-Analytics-Specialization

Python data products are powering the AI revolution. Top companies like Google, Facebook, and Netflix use predictive analytics to improve the products and services we use every day. Take your Python skills to the next level and learn to make accurate predictions with data-driven systems and deploy machine learning models with this four-course Specialization from UC San Diego. This Specialization is for learners who are proficient with the basics of Python. You’ll start by creating your first data strategy. You’ll also develop statistical models, devise data-driven workflows, and learn to make meaningful predictions for a wide-range of business and research purposes. Finally, you’ll use design thinking methodology and data science techniques to extract insights from a wide range of data sources. This is your chance to master one of the technology industry’s most in-demand skills. Python Data Products for Predictive Analytics is taught by Professor Ilkay Altintas, Ph.D. and Julian McAuley. Dr. Alintas is a prominent figure in the data science community and the designer of the highly-popular Big Data Specialization on Coursera. She has helped educate hundreds of thousands of learners on how to unlock value from massive datasets.

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machine-learning-notes

My personal notes on Machine Learning

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Udacity-Growth-and-Acquisition-Strategy-Growth-Product-Manager

Completed Udacity's Growth and Acquisition Strategy course, part of their Growth Product Manager Nanodegree Program.

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Product-Management-1

I have completed the 4-month long Nanodegree program on Product Management by Udacity and here is a project that I have developed during the program.

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educative-courses

A collection of courses, scraped from the website Educative (educative.io). Feel free to use!

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DataScienceProject

Data Science projects will store different case studies example for data analytics and product analytics role

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Stock_Analysis_For_Quant

Different Types of Stock Analysis in Python, R, Matlab, Excel, Power BI

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retentioneering-tools

Retentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python. Opensource analytics, predictive analytics over clickstream, sentiment analysis, machine learning, and Monte Carlo Markov Chain simulations framework over Pandas, Networkx and sklearn.

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Olist-Marketing-Analytics

Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment

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PowerBI-visuals-FinancialReportingMatrix

Power BI Custom Visual for Financial Reporting

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library

📚 Collection of various guides, books and papers.

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Group-Assignment-1

Imagine you are hired by retail giant Shoprite to design them some software for their daily operations. The company needs software that enables them to sell their products, keep track of stock, and receive some prompts from the system to reorder some new item if the stock runs low. Upon receiving new stock, the managers should be able to add new stock before selling begins. Shoprite also needs the same software to be able to manage their employees, particularly on the hours worked, which will later be used to calculate the salary depending on the job grade of the employee. The system should also track whether an employee is permanently employed or is on contract. Kindly use the marking rubric below to design software that Shoprite can use. (Note: Students are allowed to expand the scenario as long as it remains in the confinement of retail operations. Deliberations on the scenario can be done in the tutorial class or students can interview people working in retail to understand some daily operations involved.)

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databricks

Repository of sample Databricks notebooks

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tensor-house

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

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CD4ML-Scenarios

Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops

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Product-Management-101

Udacity's Product Manager course

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Hypothesis-Testing-and-A-B-Testing

In this Repo we are looking at the null and alternative Hypothesis, Error Types, P Value, Bonferroni Coreection.

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