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data-analysis-using-pandas-and-matplotlib

Super store data Analysis, Using Pandas for loading processing and cleaning data and matplotlib to visualize data using line, pie, scatter and historam charts.

data-insights-using-pandas

A superstore data is used

demo2

exploratory-data-analysis-global-terrorism

Global Terrorism (1970-2017) data is used.

exploratory-data-analysis-ipl

A tableau dashboard is created for the analysis of Indian Premier League (2008-2019).

fake-job-posting-prediction-using-bidirectional-lstm

goal is to classify job postings are fake are not. This project is implemented using Natural Language processing using Tokenization and glove embedding model and data modelled by Bidirectional LSTM Architecture.

generative-adversial-text-to-image-synthesis

TEXT-to-image generation have become an active research area in natural language processing and computer vision communities[3]. Text-to-image generation is mainly through learning the mapping relationship between semantic text space and RGB image space. It not only generates realistic pictures, but also maintains semantic and textual consistency

image-processing-face-detection-in-video

face detection in a video

image-processing-introduction

introduction-to-nltk-for-nlp-with-python

This is the first part of a basic introduction to NLTK for getting your feet wet and assumes some basic knowledge of Python.

ivy

The Unified Machine Learning Framework

matplotlib-bar-graphs

Line graphs are explained from scratch to advance level

nlp-urdu-text-analysis

An NLP library for the Urdu language. It comes with a lot of battery included features to help you process Urdu data .

nltk-nlp-email-spam-detection

Enron email dataset has been used and deep learning models are developed to detect and classify new email spam

numpy-mathematical-operations

predicting-score-using-supervised-ml

Supervised Machine Learning Project using Linear Regression

python-for-data-science

Evaluation sheets are used for the demonstration of data science using python, where data import , processing, cleaning are performed .

supervised-ml--regression

supervised ML, Logistic Regression & SVM

supervised-ml-classification-creditfraud-detection

In this project supervised machine learning RandomForestClassifier is used to predict output.

unsupervised-ml-find-number-of-clusters-for-bank-visitors

It is unsupervised ML algorithm used to predict number of classes of label(output).

unsupervised-ml-number-of-clusters-of-iris-types

walmart-sales-time-series-forecasting-using-machine-learning

Time Series Forecasting of Walmart Sales Data using Deep Learning and Machine Learning