Mir Nawaz Ahmad's starred repositories
INSAID_fruad_detection_model
This case requires trainees to develop a model for predicting fraudulent transactions for a financial company and use insights from the model to develop an actionable plan.
Data_Extraction_and_Text_Analysis_for_Blackcoffer_company.
The objective of this assignment is to extract textual data articles from the given URL and perform text analysis to compute variables that are explained
Emotion-detector-for-Twitter-messages
• Trained and deployed emotion detector with Word Embeddings, LSTM, BERT using TensorFlow and Transformers. • Fine tunned the Bert-base-cased Encoder Transformer with Tensorflow classification head, provides prediction out of 6 different emotions of the given input tweet with 95% accuracy.
Predicting_customer_churn
• Did in depth exploratory data analysis on the churn dataset and got valuable insight for the machine learning model. • Created a machine learning model using a bunch of algorithms (LR, KNN, SVC, Random Forest, Gradient Boosting) to predict customer churn based on historical data.GB classifier achieved 8% decrease in the overall churn rate
Time-Series-Analysis-
Time Series Analysis
Time_Series_EDA
Time_Series_EDA
Airline-Travel-Information-System-ATIS-Text-Analysis
In this project, you will learn how to generate a complete semantic parse of utterances. First, you will make a discovery on your dataset to get insights about the dataset analytics. Then, you will learn, to extract entities with two different techniques – with spaCy Matcher and by walking on the dependency tree. Next, you will learn different ways of performing intent recognition by analyzing the sentence structure. Finally, you will put all the information together to generate a semantic parse.
Real-Time-Covid-19-Face-Mask-Detection
Our face mask detector doesn't use any morphed masked images dataset and the model is accurate. Owing to the use of MobileNetV2 architecture, it is computationally efficient, thus making it easier to deploy the model to embedded systems (Raspberry Pi, Google Coral, etc.).
Real-time-Human-Detection-and-Counting
In this python project, we are going to build the Human Detection and Counting System through Webcam or you can give your own video or images. This is a deep learning project on computer vision, which will help you to master the concepts and make you an expert in the field of Data Science. Let’s build an exciting project.
Supermarket-Sales-Analysis
Before venturing on to any data science project it is important to pre-process the data and also to explore the data. Today we will discuss a very basic topic of exploratory data analysis (EDA) using Python and also uncover how simple EDA can be extremely helpful in performing preliminary data analysis. The approach we will follow today is ask some questions and try to get those answers from the data. We will consider the supermarket sales data from the Kaggle dataset.
Basket-Analysis-based-on-Customers-Behavior
Imagine if you are a retail business owner who owns a retail shop that sells hundreds of items. In a single month, there are more than a hundred transactions occurring in your shop, for instance. Each transaction is usually made with more than an item to be bought. It means there are usually more than an item in a single transaction.
Retail-Prize-Optimization-based-on-Prize-Elasticity
In this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the first steps to building a dynamic pricing model.
End-to-End-Movie-Recommendation-System
This is a Hollywood movie recommendation system built with Python. I have used IMDB 5000 Movie Dataset to built this. I have used Flask framework to built web app.
Image-Segmentation-using-PixelLib
PixelLib uses object segmentation to perform excellent foreground and background separation. It makes possible to alter the background of any image and video using just five lines of code.
End-to-End-Credit-Card-Fraud-Detection
This repository contains the procedure we followed to deploy our web app of Credit Card Fraud detection on Heroku. Since the data for credit card fraud is not available in real form(due to confidentiality), and is available only in dimensionality reduced form, we will be sharing some of the test cases here.
canvas-lms
The open LMS by Instructure, Inc.
Grammar-Checker
An algorithm to check grammatical correctness and suggest improvements.
nlp-language-modelling
Spelling correction and grammar detection with statistical language models
udemy-downloader-gui
A desktop application for downloading Udemy Courses
UdacityDataAnalysis
Projects from Udacity DataAnalysis NanoDegree
Data-Science-Projects
DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
DataAnalysisDiabetesFactor
This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. Several constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage.
FlutterWhatsAppClone
Building a WhatsApp Clone in Flutter.
DataAnalysis
IPL data analysis using pandas.
DataAnalysis-MachineLearning-Template
Data Analysis / Machine Learning pre-set jupyter-notebook template, especially for competitions.