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DATA PROJECTS

Market Basket Analysis

Overview: Market Basket Analysis project based on "The Bread Basket" dataset to identify purchasing patterns and generate actionable insights using association rules.

Technologies Used: Python, Pandas, Seaborn, mlxtend, Pyvis.

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PySpark Diabetes Prediction ML Project

Overview: Diabetes Prediction ML Project using PySpark.

Technologies Used: PySpark.

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iTunes Podcast Reviews Dashboards Tableau

Overview: Visualization of iTunes podcast reviews using interactive dashboards.

Technologies Used: Tableau.

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Customer K-means clustering in Python

Overview: Clustering customer data to identify distinct groups for targeted marketing.

Technologies Used: Python, K-means clustering algorithm.

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Machine Learning: Decision Tree with KNIME

Overview: Using decision trees for predictive modeling in KNIME.

Technologies Used: KNIME.

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NLP Challenge: IMDB Dataset of 50K Movie Reviews to perform Sentiment Analysis

Overview: Analyzing a large dataset of movie reviews to determine sentiment trends using NLP techniques.

Technologies Used: Python, Natural Language Processing.

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Recommendation System. Collaborative Filtering

Overview: Building a collaborative filtering system to recommend products to users based on similar user preferences.

Technologies Used: Python, Machine Learning.

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Book Recommendation Model. K-Nearest Neighbors

Overview: Utilizing the K-Nearest Neighbors algorithm to create a book recommendation system.

Technologies Used: Python, K-Nearest Neighbors.

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Amazon Customer Reviews Sentiment Analysis

Overview: Performing sentiment analysis on Amazon customer reviews to gauge consumer satisfaction.

Technologies Used: Python, Natural Language Processing.

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Image Classifier using TensorFlow. Keras

Overview: Building an image classification model using TensorFlow and Keras.

Technologies Used: TensorFlow, Keras.

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Linear Regression Health Costs Calculator

Overview: Creating a health costs prediction model using linear regression.

Technologies Used: Python, Linear Regression.

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Neural Network SMS Text Classifier

Overview: Developing a text classification system using neural networks to categorize SMS messages.

Technologies Used: Python, Neural Networks.

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Sentiment Analysis of Yelp Business Reviews

Overview: Analyzing Yelp reviews to extract business insights through sentiment analysis.

Technologies Used: Python, Natural Language Processing.

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Using Streamlit for Data Visualisation

Overview: Developing interactive data visualizations using Streamlit to enable dynamic user interactions.

Technologies Used: Streamlit, Python.

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WEB scraping and Sentiment Analysis British Airways Customer Reviews

Overview: Extracting and analyzing sentiment from British Airways customer reviews through web scraping.

Technologies Used: Python, Web Scraping, Natural Language Processing.

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Creating Dynamic Filters in Streamlit

Overview: Building a Streamlit application that incorporates dynamic filters for data manipulation.

Technologies Used: Streamlit, Python.

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Predicting Customer Behaviour British Airways

Overview: Using data analysis and machine learning to predict customer behavior for British Airways.

Technologies Used: Python, Machine Learning Algorithms.

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Kaggle Housing Prices Competition

Overview: Participating in the Kaggle competition to predict housing prices based on various features.

Technologies Used: Python, Machine Learning, Regression Analysis.

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Kaggle Store Sales - Time Series Forecasting

Overview: Forecasting store sales using time series analysis in a Kaggle competition.

Technologies Used: Python, Time Series Analysis, Machine Learning.

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Supervised ML: Regression Tree in Python

Overview: Implementing a regression tree to predict outcomes based on a set of input variables.

Technologies Used: Python, Decision Trees.

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Machine Learning Analysis in Retail

Overview: Analyzing retail data using machine learning to optimize inventory and sales strategies.

Technologies Used: Python, Machine Learning.

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Credit Card Fraud Detection using Scikit-Learn and Snap ML

Overview: Developing a model to detect fraudulent transactions using machine learning.

Technologies Used: Python, Scikit-Learn, Snap ML.

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Natural Language Processing with Hugging Face Transformers

Overview: Leveraging Hugging Face Transformers for advanced natural language processing tasks.

Technologies Used: Python, Hugging Face Transformers.

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Auto Exploratory Data Analysis with D-Tale, SweetViz, Pandas Profiling

Overview: Automating the exploratory data analysis process using various Python libraries.

Technologies Used: Python, D-Tale, SweetViz, Pandas Profiling.

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Auto ML and Bespoke ML with sklearn (Random Forest, Logistic Regression, SVC)

Overview: Implementing both automated and custom machine learning solutions using Scikit-Learn.

Technologies Used: Python, Scikit-Learn.

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Assess the Quality of a Dataset for a Public Service Agency

Overview: Evaluating and improving the quality of a dataset used by a public service agency.

Technologies Used: Data Quality Assessment.

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Data Transformation Pipeline with Cloud Dataprep (Alteryx)

Overview: Designing and implementing a data transformation pipeline using Cloud Dataprep similar to Alteryx.

Technologies Used: Cloud Dataprep, Alteryx.

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Correlation in Python

Overview: Exploring statistical correlations within datasets using Python.

Technologies Used: Python, Statistical Analysis.

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Explore Data Using SQL in Google Colab

Overview: Conducting data exploration and analysis using SQL within the Google Colab environment.

Technologies Used: SQL, Google Colab.

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SQL Sub-queries in Google Colab

Overview: Demonstrating the use of SQL sub-queries for complex data queries in Google Colab.

Technologies Used: SQL, Google Colab.

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Create a Dashboard Meeting Business Requirements

Overview: Developing a customized dashboard to meet specific business analysis needs.

Technologies Used: Dashboard Design, Business Analysis.

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Retrieve User Activity Data on an Online Forum Using SQL

Overview: Extracting and analyzing user activity data from an online forum using SQL.

Technologies Used: SQL, Data Analysis.

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Working with Web APIs and JSON on Movies Dataset

Overview: Utilizing web APIs to fetch and process movie data stored in JSON format.

Technologies Used: Web APIs, JSON, Python.

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Explore a Dataset on Energy Usage and Draw First Conclusions

Overview: Analyzing an energy usage dataset to uncover patterns and draw initial conclusions.

Technologies Used: Data Analysis, Visualization Techniques.

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Create a Web Server and an Amazon RDS DB Instance

Overview: Setting up a web server connected to an Amazon RDS database for handling dynamic web applications.

Technologies Used: Web Server Management, Amazon RDS.

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Data Analysis using Pandas and SQLite3

Overview: Conducting comprehensive data analysis using Pandas in conjunction with SQLite3 for database management.

Technologies Used: Pandas, SQLite3, Python.

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E-commerce Store Sales Analysis

Overview: Analyzing sales data from an e-commerce platform to optimize marketing and sales strategies.

Technologies Used: Data Analysis, Business Intelligence.

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Exploratory Data Analysis on Diamonds Dataset

Overview: Performing exploratory data analysis on a dataset of diamonds to understand pricing factors.

Technologies Used: Data Visualization, Statistical Analysis.

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Data Cleaning, Transformation, and Visualisation on AirBnB London Dataset

Overview: Cleaning, transforming, and visualizing data from the AirBnB London dataset to derive actionable insights.

Technologies Used: Data Cleaning, Data Transformation, Data Visualization.

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Data Cleaning on Movies Dataset

Overview: Performing data cleaning on a comprehensive movies dataset to prepare for further analysis.

Technologies Used: Data Cleaning, Python.

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Short-Term Rental Analytics on AirBnB Bristol Dataset

Overview: Analyzing short-term rental data from Airbnb in Bristol to understand market trends and rental dynamics.

Technologies Used: Data Analysis, Business Intelligence.

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Data Cleaning, Merging, Transforming on Movies Dataset

Overview: Enhancing a movies dataset by cleaning, merging, and transforming data to support detailed analysis.

Technologies Used: Data Cleaning, Data Merging, Data Transformation.

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Exploratory Data Analysis on Movies Dataset

Overview: Conducting exploratory data analysis on a movies dataset to uncover trends and insights.

Technologies Used: Data Analysis, Visualization.

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