Muhammad Ammar Jamshed's repositories

People_Analytics_Depl

Deployed a HR Analytics Calculator

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Data-manip-with-Pandas-and-other-basic-libraires

Udemy course (Data manip with Pandas)

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dividend_calculator

Making a Dividend Calculator with python and streamlit

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HBL_Trainings

Codes used for my training session at Banks

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Meat_Quality_Detector

Made a ML model using CNN to detect meat quality using sample data and need to make one with Pakistans meat quality for food health authorities

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sample_LLM_Deployment

An LLM I deployed using streamlit

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Pastagen

NLP model of making new pasta recipes

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POWERBI-Projects

all my Business Intelligence projects using PowerBI, Tableau and Google Data Studio

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Course_training_Natural_language_processing

All codes for this course training

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mysqlstreamlit

Deployment of mysql streamlit for Ai datayard trainings

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IoT_Work

IoT Data Projects for demos

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MYsql_class_new

SQL COdes learnt during training

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saved-work

mathematical notary work

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Analytics-and-ML-with-Unstructured-Data-

Using Mongodb, redis and other tools to connect with Python

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MYSQL_Class_work

MySQL codes from beginner to advanced

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Tax_coll

Deployment of a tax function on streamlit

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Streamlit_deploys

All the deployments of statistical programming and machine learning models ive done through Github are stored here as code

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Mysql_queries

Storing all my work done with Mysql

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Excelprogramming

All Excelworkdone

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Julia_Programming

My work using Julia which is still picking up industrial pace

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NLP-Natural-Language-Processing-

I publish all my work on Natural language Processing and NLP based models here

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Data_Analytics_bootcamp_2024

Contains all code contents from class

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NLP-Natural-language-Processing-work

All coding work done using Natural language processing both content from training institutes and university and my own

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todays_DS_class

Placing the codes for python beginners

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repo_test

Placing the codes for python beginners

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random_test

To show bootcamp trainees how its done

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GEN_AI_Models

A Few GEN AI models I've developed with extensive research codes and parameter selections

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Blaze3.0-Talk

Code for Blaze 3.0 Keynote Speech at GDG Kolachi

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sample_repo

Im placing my project codes for which the data is public

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PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

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