Deepanshu Choudhary 's Projects
Analysis of Cigarette Smoking Prevalence Among Middle and High School Students (1999-2017)
This data science project focuses on analyzing the dataset of Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs) that are currently registered through the Washington State Department of Licensing (DOL). T
in this repository i am going to perform some datascience techinques on the datasaet in order to get the valuable insights with the help of python libraries , packages etc.
This analysis offers valuable insights into the conditions contributing to COVID-19 deaths across the United States. Understanding these patterns can help healthcare providers and policymakers develop targeted strategies to mitigate the impact of future pandemics and improve health outcomes.
in this repository i am working on the dataset contains past 30 years of farming pattern in india so i applied some data analysis techiquesand data preprocessing techniques in order to get the useful insights to get the optimised results
in this project i am going to apply data preprocessing technique on the dataset in order to clean the data using libraries, etc. make some insights/analyses to findout the hotpicks of the shopping along with some data visualsation libraries to get the trends and many more aspects in order to make a small contribution to the field of data science
In this repository i am going to perform data preprocessing techniques and try to findout some useful insights using the various datascience libraries along with data visualisation library to get the precise outputs .
in this repository i am going to apply some datascience techinique in order to clean the dataset , remove the abnormality and get the useful insights from the dataset .
In this repository i am going to perform data preprocessing techniques and try to findout some useful insights using the various datascience libraries along with data visualisation library to get the precise outputs on the dataset
in this repository i am going to perform Decision Tree Classification on the dataset , initially i performed some data preprocessing technique in order to filter out the data flaws then undergoes the process of model building i.e decision tree classification .
in this repository i am going to perform decision tree regression on the dataset , initially i performed some data preprocessing technique in order to filter out the data flaws then undergoes the process of model building i.e Decision tree regression.
in this repository i am going to perform classification with the help of KNN on the real life dataset , initially i performed some data preprocessing technique in order to filter out the data flaws then undergoes the process of model building i.e KNN classification .
in this repository i am going to perform kernel SVM Classifcation on the real life dataset , initially i performed some data preprocessing technique in order to filter out the data flaws then undergoes the process of model building i.e Kernel SVM Classification.
in this repository i am going to perform logistic regression on the real life dataset, initially i performed some data preprocessing technique in order to filter out the data flaws then undergoes the process of model building i.e Logistic Regression(classification)
in this repository i am going to perform multilinear regression on the dataset ,initially i performed some data preprocessing technique in order to filter out the data flaws then undergoes the process of model building i.e multilinear regression
In this project i am performing the naive bayes on the given dataset , initially i performed some data preprocessing technique in order to filter out the data flaws then undergoes the process of model building i.e Naive Bayes.
In this project i am performing the polynomial regression on the given dataset , initially i performed some data preprocessing technique in order to filter out the data flaws then undergoes the process of model building i.e polynomial regression
in this repository i am going to perform Random Forest Classification on the dataset , initially i performed some data preprocessing technique in order to filter out the data flaws then undergoes the process of model building i.e random forest classification .
in this repository i am going to perform random forest regression on the real life dataset , initially i performed some data preprocessing technique in order to filter out the data flaws then undergoes the process of model building i.e Random forestregression
In this repository i performed initially some data preprocessing technique in order to filter out the data flaws then undergoes the process of model building i.e simple linear regression on real life data in order to make a machine learning regression model.
In this repository i performed a support vector classfication on real life data in order to make a machine learning classfication model , initially i performed some data preprocessing technique in order to filter out the data flaws then undergoes the process of model building i.e SVM Classification
In this repository i performed a support vector regression on real life data , initially i performed some data preprocessing technique in order to filter out the data flaws then undergoes the process of model building i.e SVM regression in order to make a machine learning regression model.
In this repository i am going to extract some data/information (text/links/image) from the webpage in order to perform the webscraping by the help of python(Beautifulsoup).