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airbnb-analysis

ba

The Business Analytics internship assignment involves analyzing a provided dataset for the fictional company "XYZ Inc." The task includes data exploration, descriptive analysis, and user installation & engagement performance analysis.

bizcardx-extracting-business-card-data-with-ocr

copper_industrial_model

The models will utilize advanced techniques such as data normalization, outlier detection and handling, handling data in the wrong format, identifying the distribution of features, and leveraging tree-based models, specifically the decision tree algorithm, to predict the selling price and leads accurately.

customer-conversion-prediction

We are given the historical marketing data of the insurance company and are required to build a ML model that will predict if a client will subscribe to the insurance.¶

energy-consumption-analysis

The Energy Consumption Analysis project focuses on assessing the energy usage and greenhouse gas emissions of Ontario's Broader Public Sector (BPS) organizations. The objective is to identify trends, evaluate conservation effectiveness, and suggest data-driven strategies for achieving climate change mitigation goals within the BPS.

final_project

flight-price-prediction

This problem falls under the supervised learning category as we have historical flight data with labeled ticket prices that we can use to train a regression model.

house_rent_prediction

The goal of this project is to develop a data-driven model that predicts the rental price of residential properties based on relevant features. By analyzing historical rental data and property attributes, the model aims to provide accurate and reliable rent predictions.

imdb-movie-analysis-with-powerbi

"What factors influence the success of a movie on IMDB?" Here, success can be defined by high IMDB ratings. The impact of this problem is significant for movie producers, directors, and investors who want to understand what makes a movie successful to make informed decisions in their future projects

phonepe_pluse

singapore-resales-flat-price-prediction

This prediction model will be based on past transactions involving resale flats, and its goal is to aid both future buyers and sellers in evaluating the worth of a flat after it has been previously resold. Resale prices are influenced by a wide variety of criteria, including location, the kind of apartment, of the lease.

youtube_api

YouTube Data Harvesting and Warehousing