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  • šŸ‘‹ Hi, Iā€™m Raghavendra Borkar aka @raghukb0110
  • šŸ‘€ Iā€™m interested in Machine learning and AI
  • šŸ™Œ Python and SQL Languages
  • āœØ Machine Learning, Algorithms,EDA, Statistical Modeling, Clustering & Classification, Predictive Analysis, Model Development, Data Mining, Data Visualization,Tableau,WebScraping
  • šŸŒ± Iā€™m currently searching new opportunity Data science
  • šŸ’žļø Iā€™m looking to collaborate on ML and AI projects.
  • šŸ“« How to reach me through: [email protected]

Raghavendra Borkar's Projects

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

customer_behaviour_analysis icon customer_behaviour_analysis

This dataset has the purchases of a customer across different timescales and shopping baskets. Here I'm trying to analyse it to profile the individual and identify key characteristics.

predicting-humidity-using-decision-tree-algorithm icon predicting-humidity-using-decision-tree-algorithm

The file daily_weather.csv is a comma-separated file that contains weather data. This data comes from a weather station located in San Diego, California. The weather station is equipped with sensors that capture weather-related measurements such as air temperature, air pressure, and relative humidity. Data was collected for a period of three years, from September 2011 to September 2014, to ensure that sufficient data for different seasons and weather conditions is captured.

python icon python

Basic Python exercises while learning it!

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