roshanappa Goto Github PK

30-days-interview-prepration

300days__machinelearningdeeplearning

I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning.

anomaly-detection-techniques-

In this I am trying to get the anomaly(Abnormal Data) detection by using some Algorithms ...

arificial-neural-network-classification-regression

autoencoder

car_price_pred

churn-prediction

clustering-of-mixed-datatypes

In that I am able to cluster the continuous data along with category data so that we can easity classify the customer and send them propotional offer .

computer-vision-and-image-classification-project

Here I am putting the my convolutional Neural Network Projects that I have practiced yet.

convolutional-neural-networks

In that I am putting my deep learning Projects that i have done during my practice.

data-cleaning-with-pandas.

data-science-books

data-science-python-libraries

data-structures-and-algorithm---priya-bhatia

Data Structures and Algorithm

deployment-of-machine-learning-model

Here,I have use the Streamlit library in order to get the web-frame Application.

exploraratory-data-analysis

EDA (Explorartory data Analysis)

feature-selection-in-machine-learning

firstflask

full-stack-data-science-assigments

There I am putting all assignment of Full Stack Data Science courses.

hatecrime-dataanalysis-powerbi

heart-patient-classification

hello

hello, world!

herokuflaskdemo

house-price-prediction

I have deveoped the end to end Machine Learning for predicting the price of House In Banglore with R2 Score 82% by using Linear Regression.

imagescrapper

ineuron-data-science-material

ipl-match-prediction-estimation-by-using-ml-

Here,I have developed the machien learning Algorithm which can help to get prediction while IPL match is in progress

laptop-price-prediction

In this project I have used the Streamlit web app in order to get the end to end machine learning.There are several laptops inside the data along with their configuration and price so I have decided go forewards with all the major steps in order to predict the price of the laptop and somehow I am able to the R2 is equal to 89% ,It can be increase by using further feature engineering like hyperparameter Tunning. Thank You !!

lux

Python API for Intelligent Visual Data Discovery

lux-binder

Lux Binder Examples