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Time-series-Analysis-Using-Facebook-Prophet-Algorithm-Alg
In this notebook, i am going to show how to predict future stock prices of Google using a time series forcasting model "Facebook Prophet"sarcasm-detector-on-news-headline-with-EDA-and-RNN
I used publicly available "sarcasm detection on news headlines" dataset where i peformed data preprocessing like cleaning, word embedding , then created a bidirectional LSTM model to predict whether a news is sarcastic or not!Microk8s-plus-kubeflow
This repo contains microk8s kubernetes installation and kubeflow setupkubeflow-restoration-test
test kubeflow restoration on new clusterkubeflow-practices
leisure-time-projects
These are the Datascience and Deep Learning projects I did as my part of datascience , machine learning, deep learning, A.I learning!kubernetes
I use this for k8s dep testwebscrapping
All of my webscraping codes are stored here. Ilove to scrap data.Facial-Expressions-Detection-Using-Deep-Convolutional-Network-Using-Keras-Tensorflow.
Tthis repo contains my all of deep learning related projects ,worksData-Wrangling-and-Analysis-of-WeRateDogs
I have analysed WE RATE DOGS twitter data analysis and tried to understand the visualization insights.machinelearning
Machine-Learning-with-Scratch
In this repo, you will find raw codes of building deep learning models to learn insights from scratch.Uunderstanding_Seaborn-Data-Visualization-
Seaborn is a great lib for python data visualization. In this repo, i have tried most useful plots with description using california housing database to understand the data with various plots like scatterplot, countplot, boxplot, swarmplots etc.Massive-Data-Analysis-and-Visualization
This repo contains various data extraction, analysis and visualization using python and javascript.Data-Visualization-on-FM-radio
In this repo i have analyzed and visualized various FM radio listening activities like top tracks, listeners popularity, trending etc.Data-Preprocessing-from-Scratch
In this project, i have taken 2 datasets and applied various data preprocessing techniques like min-max, z score etc normalization, linear- non linear dimension reduction techinues, naive bayes classification techniques.Love Open Source and this site? Check out how you can help us