Cavin Lobo's Projects
I'd like to share my project on Customer Sentiments on Amazon. As the dataset is very messy, the main focus of this project shows and explains the full #realworlddata . Starting with importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning , NLP & Time Series and Data Presentation. I've conducted sentiment analysis on Amazon's Customers and performed NLP to convert text into vector.
This project aims to detect offensive language in tweets using ML Classification Algorithms. A training and predicting pipeline is implemented to contrast performance of various popular classification algorithms and determine the best suited model.
Here, are some of my data visualization projects in which I have worked on python libraries which are used for data visualization. Do check out! and understand the graphical representation.
Python for Visualization Python is a highly popular general-purpose programming language and it comes extremely useful for Data Scientists to create beautiful visualizations. Python provides the Data Scientists with various packages both for data processing and visualization.
Iris Flower dataset is a basic classification project in machine learning for beginners to learn. In this project tutorial, we are going to analyze the tabular data with various visualizations and build a robust machine learning model to predict the class of the flower.
Pandas Tutorial is a perfect choice for anyone who wants to get a good hold of the Python language. This Pandas Tutorial allowed me to work with real world datasets containing both string and numeric data, often structured around time series. Throughout this tutorial, I learnt powerful analysis, selection, and visualization techniques.
.Task #2 @Predict Covid-19 Cases: Develop Time Series Model using Prophet that can predict Covid-19 cases
1.Task #1 @Predicting the Temperature : Develop an Time Series model to predict Temperature..
Task #3 @Predict the Stock Prices: Predict the prices of stock using Time Series Algorithms.
Task #1 @Predict the Stock Prices: Predict the prices of stock using Time Series Algorithms. In this Project, I learnt how to use Python for forcasting time series data to predict new future data points.
In this notebook, First I have done some exploration on the data using matplotlib and seaborn. Then, I use different classifier models to predict the quality of the wine. 1. Random Forest Classifier 2. Stochastic Gradient Descent Classifier 3. Support Vector Classifier(SVC) Then I use cross validation evaluation technique to optimize the model performance. 1. Grid Search CV 2. Cross Validation Score
Analyzing the 'Video Game Sales Analysis' dataset with the help of pandas library and learn the fundamentals of plotly by visualizing the result using simple yet interactive graphs.