Neha Talwar's repositories
Web-crawler-for-US-salary-predictions
This web crawler calls through Indeed.com to scrape job title, location, salary for Tech professionals all over the USA and helps to make predictions through linear, logistic regression, KNN , neural networks, Random forest models to arrive at the best states and titles against the salary predictions in each role.
plotly-project
belly button biodiversity
web-scraping-with-Beautiful-soup-
web scraping
ETL-on-Bigmart-sales-data
EXTRACT , TRANSFORM , LOAD ' BIG MART SALES ' DATA.
4-ML-MODELS-on-loan-data-with-R
Ensemble Model in R to deduce if isolated model does better or a combo of models.
SQL-Alchemy-for-climate-analysis-and-exploration
Use Python and SQLAlchemy to do basic climate analysis and data exploration of the climate database. All of the following analysis are done using SQLAlchemy ORM queries, Pandas, and Matplotlib.
Using-SQL-in-PostgresSQL-ERD-diagram-etc
Creating SQL queries to analyze company data and create employees schema.
Titanic-analysis-with-python
In this analysis i will analyze the Titanic data using Python ,Pandas ,Matplotlib, Numpy to create attractive Visualizations that will inform us about the survival dynamics among the passengers based on Gender , Age , Class who happened to be on the infamous Titanic on it's maiden voyage. There is a sharp skew in favour of the female passengers who were on-board compared to the male passengers and the data reflects the same.
KFold-cross-validation-with-R
Cross-validation is a statistical method used to estimate the skill of machine learning models. That k-fold cross validation is a procedure used to estimate the skill of the model on new data. I have used the swiss and mtcars datasets to predict the performance of various models like Linear regression , Decision trees , Random forest , Cforest , treebag.
Clustering-IRIS-data-with-R-and-Python
Clustering with the K-Means algorithm on IRIS data with R and Python
Clustering-on-Mall-data-with-Python
This data has scores of customers based on their spending habits vs their annual income at a mall , the objective is to apply KMeans algorithm to cluster our customer types and analyze their spending trends to better customize products in accordance with their scores and incomes.
Excel-for-kickstarter-data-analysis
Analysis of the Kickstarter crowdfunding project.
VBA-for-stock-data-2
Create a For loop in VBA in the multiple year stock data to gain information.
VBA-for-stock-data-1
VBA easy solution.
Python-for-financial-and-election-data-analysis
using python for financial analysis of the company data
Weather-Analysis-using-Python-API-s-Matplotlib-pandas
Creating a Python script to visualize the weather of 500+ cities across the world of varying distance from the equator and create a representative model of weather across world cities.
PANDAS-FOR-DATA-ANALYSIS
Using pandas library with jupyter notebook as a tool to break down the game " PYMOLI's " purchasing data into meaningful insights.
Pyber-matplotlib-analysis
Analyzing the Pyber ride share data from 120 cities to understand the key business drivers , demographics and revenue generators and creating scatterplot and pie charts from Matplotlib to visualize the analysis.
VBA-for-multiple-worksheets-Stock-data
Looping through worksheets to locate and save max, min values.
LOOPS-IN-R
Looping with the apply , lapply , sapply functions on the weather data from the weather data from four cities , "Houston", "sanFrancisco", "NewYork" , "Chicago".