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Data Analysis using jupyter notebook

$6/hr Starting at $27

Hi, This is Mubeen!

   I work in Data Analysis and Machine Learning. I use python and pandas for finding hidden patterns in data and use graphing libraries to present the insights into graphical form. I can do all types of classification and regression models.

Note: Please discuss before placing order!

About my service:

Libraries I usually use:

  • python pandas
  • stats module
  • Numpy
  • Scipy
  • sk-learn
  • Not limited to these only

Machine Learning Models I can prepare for Classification:

  • K-Nearest Neighbors.
  • Naive Bayes
  • Logistic Regression
  • decision Tree Classifier
  • Random Forrest Classifier
  • Ridge Classifier
  • Support vector machine Classifier
  • Gradient Boosting Classifier
  • Linear Discriminant Analysis
  • OneVsOne Classifier
  • MultiOutput Classifier
  • GaussianNB
  • Stochastic Gradient Descent Classifier
  • Not limited to these only

Machine Learning Models I can prepare for Regression:

  • Linear Regression
  • Ridge Regression
  • LASSO Linear Regression
  • Elastic Net Regression
  • decision Tree Regression
  • Random Forrest Regression
  • K-Nearest Neighbors.Regression
  • Support vector machine Regression

About

$6/hr Ongoing

Download Resume

Hi, This is Mubeen!

   I work in Data Analysis and Machine Learning. I use python and pandas for finding hidden patterns in data and use graphing libraries to present the insights into graphical form. I can do all types of classification and regression models.

Note: Please discuss before placing order!

About my service:

Libraries I usually use:

  • python pandas
  • stats module
  • Numpy
  • Scipy
  • sk-learn
  • Not limited to these only

Machine Learning Models I can prepare for Classification:

  • K-Nearest Neighbors.
  • Naive Bayes
  • Logistic Regression
  • decision Tree Classifier
  • Random Forrest Classifier
  • Ridge Classifier
  • Support vector machine Classifier
  • Gradient Boosting Classifier
  • Linear Discriminant Analysis
  • OneVsOne Classifier
  • MultiOutput Classifier
  • GaussianNB
  • Stochastic Gradient Descent Classifier
  • Not limited to these only

Machine Learning Models I can prepare for Regression:

  • Linear Regression
  • Ridge Regression
  • LASSO Linear Regression
  • Elastic Net Regression
  • decision Tree Regression
  • Random Forrest Regression
  • K-Nearest Neighbors.Regression
  • Support vector machine Regression

Skills & Expertise

AnalyticsData ClassificationModelingPythonRegression Testing

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