Farid Ullah (@faridelya)
github

faridelya

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Top repositories

1

CRUD-WebFlaskApp

This application is for adding Articles Editing Articles and Updating and Deleting . also include Login and Register option.
Jupyter Notebook
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2

Nvidia-TAO-tool-Deep-Stream

This repo consist of showing How to install TAO tool kit and Deep Stream on PC for training model on custom data.
Shell
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3

Deep-Learning

The repository contain different use case of model training in Tensorflow and hugging Face
Jupyter Notebook
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4

Deplyoment

This repo consist of Flask web application deployment on AWS. Also it has Deployement of Django web app as well How to install Cuda , CuDNN on PC.
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5

Statistics

Jupyter Notebook
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6

chapter-5-8

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7

Face_Recognition_Attendance

Python
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8

Flight-Fare

This Project is based on web base application by using Flask and its templates . Model is trained on flight dataset and that make prediction about fight fare.
Jupyter Notebook
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9

Dashboard-datascience

Python
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10

Outlier-Anomalies

Jupyter Notebook
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11

Ubuntu-Nvidia-setup

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12

react-app

JavaScript
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13

Weight-Prediction

Jupyter Notebook
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14

Installation-Crux-pytorch

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15

Salary-Analysis-Experienced-based

Python
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16

Model-Efficency

This directory show how to use some tools for convertion of Tensorflow models to ONNX format. that make model efficient during prediction time.
Jupyter Notebook
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17

Mongodb-Python

Covered all basic syntax of mongodb and how to use with python and connect to mongodb database. How to insert, how to update and replace and last is all about aggregate and other operator. you will find 2 notebook for practice.
Jupyter Notebook
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18

Cheat-Sheets

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19

Time-Series-Questions

Jupyter Notebook
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20

Data_Science-Interview-Preparation

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21

Machine-Learning

Covered All Machine Learning Domain Knowledge Hands on practices, Worked on Data Preprocessing steps that include Data Cleaning, EDA, Featue Engineering Train on Different type of Models for Classification or Regressiong problems and many more.
Jupyter Notebook
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22

Pandas-Seaborn-Numpy

The Directory consist of Assignment that base on Data Analysis with pandas numpy seaborn and matplolib. it is fun doing Data Analysis. Have a look if you are beginner.
Jupyter Notebook
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23

Pandas_Numpy_Practice

Jupyter Notebook
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24

End-to-End-Project-Churn--Rate--Prediction

we build a model to predict how likely a customer will churn by analyzing its characteristics: (1) demographic information, (2) account information, and (3) services information. The objective is to obtain a data-driven solution that will allow us to reduce churn rates and, as a consequence, to increase customer satisfaction and corporation revenue.
Jupyter Notebook
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25

LangChain-llama_index

Jupyter Notebook
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26

LLM-Models

This repo consist of different LLMmodel tutorials
Jupyter Notebook
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27

Flask-Socketio-Http

This repo will show you how handle session between flask HTTP request and Socketio websocket request from cross origin domain. This mean Client server will communicate with backend server
HTML
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