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ambitionbox_data-fetching-using-web-scraping

In this, I fetched data of different companies from Ambition Box site

classify-spam-and-non-spam-emails

Classification of Spam and Ham mails using Machine Learning Model

complete-knn-visualization

crop-yield-prediction

The objective of crop yield prediction using machine learning is to develop models that can accurately predict the yield of a crop given various environmental and farming factors.

extracting-max_temp-from-netcdf-file

This project is related to extracting max temperature of the given region using latitude and longitude from netCDF file.

mnist_backpropagation

I have made a Deep Learning Model on MNIST Data Set to predict the image... In this, I used Sparse_Categorical_Crossentropy loss function and Adam optimizer for BackPropagation...

prediction-of-house-price

Performed Variable Identification, Univariate analysis, Bivariate analysis, Outlier treatment, Missing Value treatment, Feature Engineering. Used Machine learning Algorithm i.e., Linear Regression to predict the price of house on the basis of the data available and to obtained R2 Score for the test data.

prediction-of-house-selling

Performed Variable Identification, Univariate analysis, Bivariate analysis, Outlier treatment, Missing Value treatment, Feature Engineering. Used Machine learning Algorithm i.e., Logistic Regression, Linear Discriminant Analysis, K – Nearest Neighbor to predict whether the house got sold or not on the basis of the data available and to obtained and compare the accuracy Score for the test data.

tbmd-data-fetching-using-api

In this, I fetched the data of top rated movies from TBMD site using API

titanicdataset_pipeline

In this, I trained Decision Tree Model with and without using Sklearn_Pipeline and compare the accuracy