Pinned Repositories
Applied-Machine-Learning
https://github.com/Aniruddha-Tapas/Applied-Machine-Learning.git
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
blog_stuff
experiments and snippets used on the blog
ChatScript
Natural Language tool/dialog manager
coding
An attempt to revisit competitive / interview coding
kaggle-happiness
Predicting happiness from demographics and poll answers
practicalAI
A practical approach to learning machine learning.
mldeveloper01's Repositories
mldeveloper01/ml-app-template
🚀 ML application template to create API services around your ML code → https://madewithml.com
mldeveloper01/utterances
💬 Project comments for Made With ML
mldeveloper01/100-days-of-code
Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)
mldeveloper01/adityaas.github.io
Personal webpage
mldeveloper01/Algo_Ds_Notes
It is a repository that is a collection of algorithms and data structures with implementation in various languages.
mldeveloper01/awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
mldeveloper01/caiso-price-forecast
Forecasted CAISO day-ahead market hourly prices
mldeveloper01/Complete-Tensorflow-2-and-Keras-Deep-Learning-Bootcamp
Complete Tensorflow 2 and Keras Deep Learning Bootcamp Practice Files
mldeveloper01/Complete-tensorflow2-and-keras-DeepLearning-bootcamp
Code and Projects from Udemy Course - Complete tf2 and keras deep learning bootcamp with instructor Jose Portilla
mldeveloper01/covid-19-hackathon
mldeveloper01/DAT3
General Assembly's Data Science course in Washington, DC
mldeveloper01/Data-Governance
It’s all about how you handle the data collected within your business.
mldeveloper01/data-science
:bar_chart: Path to a free self-taught education in Data Science!
mldeveloper01/data-science-interviews
Data science interview questions and answers
mldeveloper01/data-scientists-guide-apache-spark
Best practices of using Spark for practicing data scientists in the context of a data scientist’s standard workflow.
mldeveloper01/Data-Visualizations
Data Visualizations is emerging as one of the most essential skills in almost all of the IT and Non IT Background Sectors and Jobs. Using Data Visualizations to make wiser decisions which could land the Business to make bigger profits and understand the root cause and behavioral analysis of people and customers associated to it. In this Repository I have deeply discussed about Line Plots, Bar plots, Scatter Plots, and Pie Charts, Apart from that I have Discussed scientific plots, 3d plots, animated plots, interactive plots to visualize any kind of business problem and that too of any complexity.
mldeveloper01/EnterpriseArchitecture
What is Enterprise Architecture (EA)
mldeveloper01/example-comparison
Example of comparing data sets
mldeveloper01/fastpages
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
mldeveloper01/gitfiti
abusing github commit history for the lulz
mldeveloper01/images
🖼️ Images for practicalAI lessons
mldeveloper01/interview-prep
These are my notes and pseudo/unfinished code for technical interviews.
mldeveloper01/knowledge-repo
A repository for me to keep the things i've learned and share it with others
mldeveloper01/ml-engineer-roadmap
WIP: Roadmap to becoming a machine learning engineer in 2020
mldeveloper01/MLBlocks
A library for composing end-to-end tunable machine learning pipelines.
mldeveloper01/pgmpy_notebook
Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy
mldeveloper01/Prediction-of-Hard-Drive-Failure
Prediction of hard drive failure using S.M.A.R.T statistics.
mldeveloper01/public-docs
mldeveloper01/RNN-based-Stock-Price-Prediction-using-LSTM
This repository will consist of a Long Short-Term Memory implementation of a Recurrent Neural Network used to predict the stock prices of Google Stocks for the next working day based on their past few days opening price trends.
mldeveloper01/Udacity-Data-Engineering-Projects
Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.