divyamsingh18 Goto Github PK

fastapi

faultycalculator-learning-python-

fbprophet-for-time-series-forecasting-

feature-selection-feature-engineering

finding-outliers

This programs calculates the z-score of given data and then it checks if the value is greater than the threshold value, if its greater than the threshold then it appends the particular data in a list and the list is printed as as a result.

flask-vercel

This repo is to test the deploy to Vercel

flight-price-prediction

Now you can get Flight ticket fare with this wonderful end to end project.

flight-price-prediction-live-project

fruits

Learning the basics.

gan-generative-adversarial-networks-

gender-recognition-and-age-estimator-live-project

global-superstore-analysis-2016-data

The Analysis is done using PowerBI

google-cloud-platform-deployment

gradio

greatest-of-three

grid

guess-the-number-

Learning python :-)

gui-calculator

The GUI calculator is made with the help of Tkinter module. Tkinter is the standard GUI(graphical user interface) library for Python.

gym-membership-form-basics-of-backend

gym-site-non-responsive-

gym-site-with-backend

handle-imbalanced-dataset

handling-imbalanced-dataset-feature-engineering

handling-missing-values-feature-engineering-

Why do you need to fill in the missing data? Because most of the machine learning models that you want to use will provide an error if you pass NaN values into it. The easiest way is to just fill them up with 0, but this can reduce your model accuracy significantly. For filling missing values, there are many methods available. For choosing the best method, you need to understand the type of missing value and its significance, before you start filling/deleting the data.

handling-outliers-feature-engineering

harvestify-live-project

A machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.

health-app-from-live-project

healthcare-project-6

heart-disease

used for Project

heroku-demo