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Ashish Mahendra Deolikar's Projects

eda-mini-project icon eda-mini-project

Dataset recording people to invest in each other in a way that is financially and socially rewarding. On loans, borrowers list loan requests between $ 2,000 and $ 35,000, and individual investors invest as little as $ 25 in each loan listing they select. Prosper handles the servicing of the loan on behalf of the matched borrowers and investors. Few more different questions were also included in that mini-project not based on a summary.

itp-mini-project icon itp-mini-project

In the E-Commerce shopping experience, it is essential to deliver the product promptly to the customer. 'FastTrack' courier company stores the relevant data of its clients and parcels in the form of a dictionary. Create a dictionary for storing shipment information in key-value pairs. Shipment id is used as a key and list of other attributes like sender, receiver, start date, Delivery Date, Sender_location, Receiver_location, Delivery status, Shipping cost is associated with shipment id.

npv-mini-project icon npv-mini-project

A Company is having its offices across all locations of India. These locations are categorized with respect to zones. The company has decided to give medical expenditure benefits to their employees. The company has collected the medical expenditure of all the employees for the year 2019. The company also collected some other health and family-related data of all employees like a number of dependents, age, bmi, smoking and alcoholic habits.

slr-no.-of-study-hours icon slr-no.-of-study-hours

# Problem Statement ### 1. Predict the percentage of an student based on thr no. of study hours. ### 2. This is a simple linear regression task as it involves just 2 variables. ### 3. You can use R, Python, SAS Enterprise Miner or any other tool. ### 4. What will be predicted score if a student studies for 9.25 hrs/day? ### Data can be found at http://bit.ly/w-data

social-distancing-using-deep-learning icon social-distancing-using-deep-learning

Social Distancing Analyzer automatically detects the extent to which social distancing protocols are followed in the area. Deploying it on current surveillance systems and drones used by police to monitor large areas can help to prevent coronavirus by allowing automated and better tracking of activities happening in the area.

sql-1-mini-project icon sql-1-mini-project

This project focuses on getting insights of the complete match details and the players, for helping the bidders during the IPL matches. To facilitate the projections of the winner at the end of every match and update the team standings in the tournament along with the bidder points table. Visualization of the leaderboard at any given point in time.

stats-mini-project icon stats-mini-project

The first problem statement focuses on exploratory data analysis on FIFA world cup dataset. Learners need to analyze the data to get useful insights on top teams, winning distribution, etc. The second problem statement helps in understanding and applying statistical analysis on the mobile network dataset given. The given data set contains information about the internet, calls, messages of various networks. Data Cleaning and the basic EDA process need to be performed.

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