AishwaryaSharma-Stats
I have Master's in Statistics and 3+ years of work experience. Skilled in Research Survey & Data Analysis. Being Statisticians love to play with Data.
Pinned Repositories
Canada-per-capital-income-prediction
I looked at a dataset of the per capita income in Canada and conducted data analysis, data cleansing, and key insight discovery. Using data cleansing, data visualisation, data mining, linear regression, and machine learning techniques, we are able to forecast the future capital value using a straightforward linear regression model.
Drugs-Recommendation-using-Reviews
Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
Employee-salary-prediction-using-multiple-linear-regression
In this project, we built a model to predict the employee wage using critical data insights from assessments of the person's experience, skill sets, and aptitude to solve real-world challenges. Regression analysis was then employed by our model to properly assess the employee's pay.
Old-car-value-prediction
We were able to build a model using the logistic regression methode to anticipate the price of used cars for this project with the use of crucial data insights, such as our research on the production year, price, and how many years it has been in use.
Students-Performance-Analytics
Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization and at lat applying Classification Algorithms from Machine Learning to Separate Students with different grades
Twitter-Sentiment-Analysis
It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization
become-python-topgun
This repository contains a collection of 100 short Python programs that are perfect for beginners to use to learn and practice their Python programming skills.
flask_sample_deployment
A sample machine learning model to be deployed in heroku
Uber-Drive-case-study-and-analysis-using-Excel
In this project, I predict that Uber Drive would have distinctive start and drop locations among all of the places, as well as the most well-known and popular route and the fastest route speed.
AishwaryaSharma-Stats's Repositories
AishwaryaSharma-Stats/become-python-topgun
This repository contains a collection of 100 short Python programs that are perfect for beginners to use to learn and practice their Python programming skills.
AishwaryaSharma-Stats/Uber-Drive-case-study-and-analysis-using-Excel
In this project, I predict that Uber Drive would have distinctive start and drop locations among all of the places, as well as the most well-known and popular route and the fastest route speed.
AishwaryaSharma-Stats/Canada-per-capital-income-prediction
I looked at a dataset of the per capita income in Canada and conducted data analysis, data cleansing, and key insight discovery. Using data cleansing, data visualisation, data mining, linear regression, and machine learning techniques, we are able to forecast the future capital value using a straightforward linear regression model.
AishwaryaSharma-Stats/Old-car-value-prediction
We were able to build a model using the logistic regression methode to anticipate the price of used cars for this project with the use of crucial data insights, such as our research on the production year, price, and how many years it has been in use.
AishwaryaSharma-Stats/Employee-salary-prediction-using-multiple-linear-regression
In this project, we built a model to predict the employee wage using critical data insights from assessments of the person's experience, skill sets, and aptitude to solve real-world challenges. Regression analysis was then employed by our model to properly assess the employee's pay.
AishwaryaSharma-Stats/flask_sample_deployment
A sample machine learning model to be deployed in heroku
AishwaryaSharma-Stats/Students-Performance-Analytics
Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization and at lat applying Classification Algorithms from Machine Learning to Separate Students with different grades
AishwaryaSharma-Stats/Drugs-Recommendation-using-Reviews
Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
AishwaryaSharma-Stats/Twitter-Sentiment-Analysis
It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization