source code train models Machine Learning and preprocessing text using python
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Updated
Feb 13, 2019 - Python
source code train models Machine Learning and preprocessing text using python
Data Analysis
Machine Learning with Python: Halliburton Landmark Learning
Passenger Survival Prediction on Titanic Dataset using various Machine Learning Models
This repository provides a Jupyter notebook on basic data cleaning and exploratory data analysis process with a CSV file that was scrapped from a real estate website in Belgium.
The goal of this project is to analyze data related to a marketing campaign and subsequently develop a machine learning model that can predict customers' response to the campaign. The overall benefit of this application is the efficient utilization of marketing budget.
Binary classification of residential utility problems in NYC; Capstone project for the IBM Certificate in Data Science
Unsupervised Machine Learning- CyrptoCurrency Analysis - For this project I am performing unsupervised machine learning on cryptocurrency data in order to discover patterns and groups in data. The purpose of this analysis is to create a report that includes what cryptocurrencies are on the trading market and how they could be grouped in order to…
Just cleaning an Airbnb dataset with no more digging
Second Data Analyst Project.
Unsupervised Machine Learning- CyrptoCurrency Analysis, using several models on a cryptocurrency data in order to discover patterns and groups in data. Analysis done to create a report that includes what cryptocurrencies are on the trading market and how they could be grouped in order to create a classification system for potential new investmen…
Analysis of District-wide school and student data, refactored to omit data sample with potential academic dishonesty
This project involves cleaning and preparing data for entip project
Determined whether student test scores are impacted by factors such as school size, school budget, student grade, etc. for a city school district using a python script in jupyter notebook with the Pandas dependency. Cleaned city school district data to eliminate problematic data that was impacting our analysis of student success on standardized …
Use of Beautiful soup to scrap data from couple of websites and perform exploratory analysis
Machine Learning Internship Assignment
After cleaning the data, EDA was performed using python libraries like matplotlib and seaborn to display the data and generate business insights that aid hotels in managing their inventories much more effectively.
Using the bike sharing data, I demonstrate skills in Data Cleaning and Preparation along with testing the data for normality and transforming it.
Performed the data exploration and cleaning using SQL for a dataset about an e-commerce store to provide answers for smart business questions.
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