SpaceX Falcon 9 First Stage Landing Prediction
Predicted whether the booster rocket of Falcon9 will land using data from SpaceX API and Wikipedia (through web scraping)
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Key Modules:-
Applied Statistics(ECS764P), Data Mining(ECS766P), Principles of Machine Learning(ECS7020P), Neural Networks and Deep Learning(ECS659P), Risk and Decision-Making for Data Science and AI(ECS7005P), Natural Language Processing(ECS763P),Big Data Processing(ECS765P)
Module description Course Website
Key Modules:-
Data Mining & Analytics(15CS331E), Data Science & Big Data Analytics(15IT423E), DBMS(15IT302J), Natural Language Processing(15CS421E), Artificial Intelligence(15CS401), Python Programming(15IT322E)
Module description Course Website
The IBM Data Science Professional Certificate is a program consisting of 10 courses that provides learners with the essential skills and knowledge for a career in data science. It covers topics such as data analysis, machine learning, and data visualization, offering hands-on projects and real-world case studies. This certificate, endorsed by IBM, equips individuals with practical experience in applying data science techniques to solve complex problems.
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Predicted whether the booster rocket of Falcon9 will land using data from SpaceX API and Wikipedia (through web scraping)
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Food Image Classification with EfficientNetV2B0: Achieving 74.33% accuracy across 101 classes using TensorFlow dataset and optimized preprocessing techniques.
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Analyzing Driver Performance in Different Tire Compounds and Stints: Regression analysis of lap times reveals insights into driver performance and variations throughout the race.
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Predicted the price of NYC properties using ensemble model
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Developed an interactive dashboard with yearly Airline Performance report and Airline Delay Report from 2005 to 2020
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Created a Multi-Layered Perceptron Neural Network Model to classify images of clothing
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Analyzing stock prices and revenue trends for Tesla and GameStop to identify correlations and patterns.
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