adaboost_tutorial

The AdaBoost (Adaptive Boosting) algorithm is a popular ensemble method used in machine learning to improve the performance of weak classifiers. It combines multiple weak classifiers to create a strong classifier, focusing more on the misclassified instances in each subsequent iteration.

akarshankapoor7

comprehensive-ml-project-on-sales-forcasting-using-facebook-prophet-

A comprehensive machine learning project using Facebook's Prophet to forecast future sales. The model utilized historical data and effectively accounted for various factors, including seasonality effects, demand fluctuations, holiday impacts, promotional activities, and competitive influences.

credit-card-financial-transactional-customer-end-to-end---power-bi-

A comprehensive credit card weekly dashboard that provides real-time insights into key performance metrics and trends, enabling stakeholders to monitor and analyze credit card operations effectively.

e-commerce-website-reviews-sentiment-analysis-

Flipkart E-Commerce Reviews Sentiment Analysis examines customer reviews to gauge sentiment—positive, negative, or neutral. This helps Flipkart understand customer satisfaction, identify issues, and improve products and services, ultimately enhancing customer experience and loyalty.

food-delivery-cost-and-profitability-analysis-using-python

The Food Delivery Cost and Profitability Analysis is a thorough assessment designed to comprehend and enhance the financial dynamics of a food delivery operation.

sales-rate-conversion---power-bi-case-study

Objective The objective of this case study is to analyze a company's sales data to gain insights into the performance of individual salespersons and the sales team as a whole. Based on this analysis, areas for improvement will be identified, and actionable strategies will be suggested to enhance overall performance.

time-series_analysis_using_python

detailed and comprehensive time-series analysis using python (includes ARIMA and SARIMA)