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Hi Folks! šŸ‘‹

I am Shasank Dave Technology Analyst(GoLang|Ab>Initio) with agile mindset, On journey of learning Data Science & ML concepts.
Portfolio Website

Technology Analyst| Google Tensorflow Certified | Data&AI Enthusiast

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  • šŸŒ± Iā€™m currently learning: Data Engineering on Google Cloud Platform
  • šŸ‘Æ Iā€™m looking to collaborate on: Data Science for social good projects
  • šŸ¤” Iā€™m looking for help with : Smart Analytics(VertexAI) on Google Cloud Platform & Building Developers community presence.
  • šŸ’¬ Ask me about: "Ask me anything about data!"
  • šŸ“« How to reach me : Gmail : [email protected] OR
  • šŸ”­ Github:
  • āš” Fun fact: StayCurious & Ask questions!

UpSkilling:

Python Go scikit-learn TensorFlow Pandas NumPy PostgreSQL GitLab Apache Spark Docker Google Cloud

Google tensorflowGoogle Tensorflow Certified
DataCamp CertificationDataCamp Professional Data Scientist Certificate
Coursera: IBMIBMIBM Data Science Professional
Google CloudGCP Smart Analytics
Coursera: DeeplearningDLDeepLearning.AI Tensorflow Developer
Coursera:Google Data AnalyticsGoogle Data AnalyticsGoogle Data Analytics Professional
Coursera: DeeplearningDeeplearningAWS Deeplearning Practical Data Science
DataCampDataCamp: Data Scientist with Python
DataCampDataCamp: BigData with PySpark
DataCampDataCamp: Data Engineer with Python

Agile/Scrum :

[Professional Scrum Master-PSM1] (https://www.scrum.org/certificates/377755)

SDave's Projects

30-days-of-ml-kaggle icon 30-days-of-ml-kaggle

Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.

ab_testing icon ab_testing

A/B Testing ā€”Ā A complete guide to statistical testing

applied-ml icon applied-ml

šŸ“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

coursera-deep-learning-specialization icon coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

coursera_capstone icon coursera_capstone

This repository will be used to store IBM Data Science Professional :Coursera Capstone

coursera_deep_learning_specialization icon coursera_deep_learning_specialization

Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datacamp-1 icon datacamp-1

This repositoray includes all exercises solutions for Tracks, Courses and Projects that I have finished on datacamp

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

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