Machine Learning and Data Analytics

As a developer and a data scientist, I have a career in machine learning to help businesses make important decisions into the data. I possess advanced knowledge of Python and C++ with a numeric background in data analysis, data analytics, and several techniques on machine learning. My machine learning skill set includes:

• Model Development: I am highly skilled at creating strong machine learning models such as Linear Regression, Logistic Regression, Ridge Regression, and Pipelining.
• Project Success: Successfully completed numerous projects such as:
  9.      Laptop Pricing Analysis: Delivered models with high R² scores.
  10.      Automobiles Analysis: Achieved an R² score of 0.8412.
  11.      US Housing Price Prediction: Developed a model with an R² score of 0.75.
  12.      Insurance Cost Analysis: Achieved an R² score of 0.8133.

• Feature Selection: Know-how of picking the most important features for the model accuracy to reach its maximum.
• Model Evaluation: Detailed checking of the model output to confirm the correct and accurate result of it.

My solution concerns the use of direct techniques and the thorough correlation analysis to the provision of machine learning services of an excellent standard. I would like to work together with you to benefit from the great potential of machine learning for the projects.