Fintech Hiring Trends in the Largest U.S. Banks Analysis
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Updated
Apr 29, 2019 - Jupyter Notebook
Fintech Hiring Trends in the Largest U.S. Banks Analysis
The purpose of creating a binary classifier capable of predicting applicant's success rate. The Data is preprocessed, a NNM (Neurnal Network Model) is compiled, trained and evaluated.
Analyze the numbers related to Covid-19 infections, deaths and vaccinations around the world until January 27th 2022.
PythonPandas - Analysis of IMDB movies data
Python script read excel (xlsx) and match text from text file.
Repository to store python programs for python.
A small project to demonstrate the ability of python pandas and openpyxl for data analysis and automation of excel sheets
Using Python and SQLAlchemy to do basic climate analysis and data exploration of our climate database. Then after initial analysis, designing a Flask API based on the queries that we just developed.
Preparing statistical summary from a dataset using Python.
This repository contains a sentiment analysis program that analyzes the sentiment (positive, negative) of text data. It utilizes natural language processing techniques and machine learning algorithms to determine the sentiment of textual input.
Using Python Machine Learning technique for detecting credit card fraud. Machine Learning techniques like Logistic Regression, Decision Tree , Random Forest techniques were used to predicting the fraud.
Web Scrapping using Beautiful Soup
This data science project aims to perform exploratory data analysis on the impact of the spread of the Coronavirus and help researchers, policymakers, and the general public to learn and better understand the dynamics of the COVID-19 pandemic and make informed decisions for their health and safety.
This project is part of Advanced Data Analysis Nanodegree with Udacity. It includes performing an exploratory data analysis using Python. Then, create a presentation with explanatory plots.
Uses Python Pandas to generate a report that breaks down a start-up video game's purchasing data into meaningful insights.
Alphabet Soup’s business team receives many funding applications from startups every day. This team has asked you to help them create a model that predicts whether applicants will be successful if funded by Alphabet Soup.
Project for mapping air quality in Europe by years with key indicators
The repository showcases an analysis of a car dataset using the Python Pandas library.
Python Data Analysis using pandas
Combine your new algorithmic trading skills with your existing skills in financial Python programming and machine learning to create an algorithmic trading bot that learns and adapts to new data and evolving markets.
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