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I-Shaped Developer
I-shapedSpecialist — deep expertise in Jupyter Notebook
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13
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This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.
Welcome to Data Science Bootcamp Series. This repository houses the source code and other supporting artifacts related to this bootcamp series.
It's a Github Repo to get an understanding on various pre-processing steps required in Machine Learning before we build Machine Learning Models. The code is written in Python.
It's a Git Repo containing source code, supported docker files, multiple linear regression pickle file and other related contents of Flask App and Machine Learning Model.
This repository contains content related to Data Science related Tips, Tricks and Career Advice
It's a repository which contain source code for building python based plotly dash web apps. One can follow the tutorial to build beautiful Analytics & Data Science related interactive and dynamic dashboards. Various HTML components like slider , drop down, check boxes can be utilized to alter the graphs. One can see the outputs in the web browser.
This repository houses all the resources, contents, source codes, files, jupyter notebooks etc. related to Natural Language Processing related concepts, products and applications. One can refer this repo to learn and grasp knowledge related to NLP.
It's a repository which houses source code for various data wrangling techniques used before a machine learning model is built. The code is written in Python Programming language.
This repository contains python notebook, files and other useful material to cover tutorials related to Tensorflow, Neural Network like ANN, CNN, RNN, Autoencoders etc.
This repository contains the python source code for reading different types of data i.e. using .csv file, loading the data from scikit learn library, reading the data from RDBMS database like MySQL as well as simulate data for Regression, Classification and Clustering algorithms.
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