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algorithmic-ai-trading-model

amazon-bestseller-books-data-analysis

Data Analysis and visualisation of the bestseller books in Amazon.

color-detection-using-opencv

Using OpenCV API of Python, developed a model which can detect colours in an image by double-clicking. In addition to showing the colour name, the model will also show RGB values since these are the primary colours.

data-analysis-of-spotify-dataset

Analysis of music preferences and the characteristics of music in Spotify.

extract-analyse-youtube-data

Retrieved data of a YouTube channel using YouTube Data API v3 and performed data analysis on the extracted data. Information retrieved includes uploaded videos details, most liked video, most disliked video etc.

final-project-comp-5800

international-debt-analysis

Studying the International Debt Statistics (IDS) database using the World Bank API.

lyrics-analysis

With the help of BeautifulSoup, first web scrape the lyrics and save the details of the songs/lyrics into a csv file. Then, perform Text and Sentiment Analysis on the extracted data.

nba-data-analysis

Web scraped NBA data, performed data analysis on Stephen Curry's data, performed data analysis of NBA games (2004 to 2020), height and weight analysis of NBA players and created simple shot charts of different NBA players.

nba-data-analysis-2021

parsnip

A tidy unified interface to models

real-time-canny-edge-detection-using-opencv

Making use of OpenCV, I will carry out a Canny Detection which is used in lane detection, sketching, border removal etc.

sentiment-analysis-using-tidytext

Extracting positive and negative sentiments using tidytext package (for text analysis), janeaustenr package (for the dataset) and visualising the data using ggplot and wordcloud

spotify-data-analysis

In this project, you can find out the data analysis of your Spotify data. In addition to this, you can also find out the data on your favourite artist.

stock-analysis-using-r

Analysis of technology stocks (Amazon, Tesla, Google, Apple, Facebook) using R programming. Predicting the stock prices four years down the line.

survminer

Survival Analysis and Visualization

text-mining

Simple text mining using R programming. We will take a text file and then we will perform cleaning and simple analysis on it. We will then represent the data using wordclouds.

titanic-survival-rate-prediction-model

Developed a machine learning model on the famous Titanic dataset. It provides information on the survival rate of passengers on the Titanic, determined by economic status, sex, age and survival using Python (Pandas, SciKit, Seaborn). The model is used to predict whether a passenger on the Titanic would have survived or not.

trading-strategy-using-machine-learning

Implementation of trading strategy by comparing different machine learning algorithms' accuracies.

twitter-covid-19-analysis

Extracting and cleaning tweets with the hashtag covid-19 from Twitter. Performing sentiment analysis on these extracted tweets and visualising the same with the help of bar plot and wordcloud.

web-scraping-using-python

Web Scraping Google, Amazon, Basketball-Reference site and latest NBA data using Python.