Technocolabs Softwares's repositories
Analysis-of-Bank-Debit-Collection-and-Recovery-Strategies
The goal for the data scientist is to determine in this non-random assignment whether the incremental amount the bank earns exceeded the additional cost of assigning customers to a higher recovery strategy.
BigMart-Sales-Analysis-and-Prediction-Mini-Project
Using this model, BigMart will try to understand the properties of products and stores which play a key role in increasing sales.
Mini-Project-BigMart-Outlet-Sales-Analysis-and-Prediction
The aim of this data science project is to build a predictive model and find out the sales of each product at a particular store.
BigMart-Sales-Analysis
The aim of this data science project is to build a predictive model and find out the sales of each product at a particular store.
BigMart-Product-Outlet-Sales-Analysis-and-Prediction-Project
The aim of this data science project is to build a predictive model and find out the sales of each product at a particular store.
Product-Sales-Outlet-at-BigMart-Datawarehouse
he data scientists at BigMart have collected 2013 sales data for 1559 products across 10 stores in different cities. Also, certain attributes of each product and store have been defined. The aim of this data science project is to build a predictive model and find out the sales of each product at a particular store.
BigMart-Product-Outlet-Sales-Analysis-and-Prediction
The aim of this data science project is to build a predictive model and find out the sales of each product at a particular store.
Semmelweis-and-the-Discovery-of-Handwashing
In this python project we will reanalyze the medical data Semmelweis collected. This project assumes that you are familiar with python and pandas DataFrames. You can learn the required skills in these courses:
Big-Mart-Sales-Prediction
The aim of this data science project is to build a predictive model and find out the sales of each product at a particular store.
Technocolabs-Softwares-Data-Analyst-Mini-Project-BigMart-Outlet-Sales
The aim of this data science project is to build a predictive model and find out the sales of each product at a particular store.
Reducing-Traffic-Mortality
we want to understand if there are patterns in this variation in order to derive suggestions for a policy action plan. In particular, instead of implementing a costly nation-wide plan we want to focus on groups of states with similar profiles. How can we find such groups in a statistically sound way and communicate the result effectively?.
Technocolabs-Internship-Mini-Project-Reducing-Traffic-Mortality
we want to understand if there are patterns in this variation in order to derive suggestions for a policy action plan. In particular, instead of implementing a costly nation-wide plan we want to focus on groups of states with similar profiles. How can we find such groups in a statistically sound way and communicate the result effectively?
BigMart-Products-Outlet-Sales-Analysis-and-Prediction
The aim of this data science project is to build a predictive model and find out the sales of each product at a particular store.
US-Stock-Prediction-Using-ML-And-Spark
Predict stock price based on financial news feeds
Car-Price-Prediction
Jupyter Notebook processing online car sales records using Pyspark (SparkSQL and Dataframes)
PREDICTING-MARKET-VOLATILITY-USING-MACRO-HEADLINES-ML
We predict equity market vol using tweets from major news sources, hedge funds and investment banks, and notable economists
Stack-Overflow-Tag-Predictions
Tag Prediction from Stack Overflow Questions