yash12345678901's Projects
Analyze the data of the xyz company's employer. why are they absent during work?
Analysis the diabetes dataset and predict that if person diabetic or non diabetic.
Predict the Cancer Data set by using Logistic Regression Algorithm and predict where the patient Benign or Malignant .
This program is about classifying cloth using Artificial Neural Network.
Here we have to cluster the data of countries by using unsupervised learning algorithm
convert jpg image into pencil sketch by using python library.
Here we upload some data science related concepts like feature engineering model tuning data cleaning and many more.
Calculate dogecoin profit using python language.
This is the program to send emails, here we use python programming.
Analysis the cardio dataset and predict the accuracy that the person have heart disease or not
In this project we have to predict House Price in Bangalore city in India. I use GridSearchCV for better model predictions and also data cleaning.
Here we use cifar10 dataset for classify image, apply CNN algorithm.
Here we analysis the IPL Data set, and predict the accuracy apply different Machine Learning Algorithm
In this code we have to predict the accuracy of MNIST Dataset by using Convolution Neural Network(CNN).
Content based movie recommendation apply machine learning algorithm
PDF Book Think And Grow Rich, convert text to audio bu using python programming.
Here we use Google stock price data and predict the value of stock price by using LSTM technique.
Here we scrap the news article, use Natural Language Processing.
In this project i have to classify sports person by their face. So we to collect the dataset and clean and then predict by using ML algorithm
Predict the accuracy of testing data by using Logistic Regression Algorithm.
Analysis the titanic data set.
Here i have to create small virtual assistant project by using python programming.
Data Visualization and Analysis using Power BI and Mysql workbench.
Hera we scrap the web data by using python programming
In this report I analysis about countries happiness data. Analysis about countries GDP per capita, Health life expectancy, corruption freedom to make life a choices and many more. Analysis which criteria most effective to became countries more happy. Also analysis about developed and developing countries.