stephanny-nunes / portfolio

Data Science portfolio with projects I worked on for self-learning purpose.

Portfolio of Data Analysis Projects

The purpose of this portfolio is to showcase the abilities I trained as a Data Analyst using Python libraries.

This portfolio includes the following projects:

• Classification Prediction
• Regression Prediction (Real-time dataset)
• Customer Segmentation
• Sentiment Analysis

Methods Used

• Inferential Statistics
• Machine Learning
• Data Visualization
• Predictive Modeling
• Natural Language Processing

Technologies

• Python
• Pandas
• Matplotlib
• Sci-kit Learn
• Nltk

Classification Prediction

Test and train a Classification Machine Learning Model to predict whether it will rain or not in the next day using a dataset about Rainfall in Australia.

Regression Prediction

Test and train multiple Regression Machine Learning Models to predict number of infected people by Covid-19 using real-time data from Bing API and comparing the models' accuracy.

Customer Segmentation

Perform a Customer Segmentation analysis using a dataset from IBM Watson about insurance policy renewal

Sentiment Analysis

Perform sentiment analysis on Amazon Reviews for electronic produts ...