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python Machine Learning Engineer

$10/hr Starting at $50

Hello!

Are you looking for help in Data science, Machine Learning, and Data Cleaning

( preprocessing ) , GUI (Graphical User Interface) using Flask and Streamlit. Then You are at the right place!

Now I'm on fiver to help with your machine learning python projects.


I have an experienced Machine Learning, Python with over Two years. I have strong knowledge of Python and its Frameworks and Libraries.


 I can also handle any project related to these:

  1. Classification Related Problems
  2. Regression Related Problems
  3. KMeaas. KNN
  4. Data Analysis (Pandas, Numpy, Others)
  5. Data Visualisation ( Matplotlib, Seaborn)
  6. Dimensionality Reduction ( PCA, LDA )
  7. Prediction Related Problems
  8. Supervised Learning
  9. Unsupervised Learning


and also I will predict your data with different models that you won't like as:

  1. Linear Regression, Logistic Regression
  2. Decision Tree, SVM
  3. Naive Bayes, KNN
  4. K-Means
  5. Random Forest
  6. Gradient Boosting
  7. Others


GUI

  • Streamlit
  • Flask


Frameworks

  • Jupyter Notebook
  • Google Colab


Why Choose Me

On time delivery of the work. 

Customer Satisfaction is our first priority


  • #data analysis #machinelearning #ai #deelearning #datavisualization #datamining #nlp #predictivemodeling #datacleaning 

About

$10/hr Ongoing

Download Resume

Hello!

Are you looking for help in Data science, Machine Learning, and Data Cleaning

( preprocessing ) , GUI (Graphical User Interface) using Flask and Streamlit. Then You are at the right place!

Now I'm on fiver to help with your machine learning python projects.


I have an experienced Machine Learning, Python with over Two years. I have strong knowledge of Python and its Frameworks and Libraries.


 I can also handle any project related to these:

  1. Classification Related Problems
  2. Regression Related Problems
  3. KMeaas. KNN
  4. Data Analysis (Pandas, Numpy, Others)
  5. Data Visualisation ( Matplotlib, Seaborn)
  6. Dimensionality Reduction ( PCA, LDA )
  7. Prediction Related Problems
  8. Supervised Learning
  9. Unsupervised Learning


and also I will predict your data with different models that you won't like as:

  1. Linear Regression, Logistic Regression
  2. Decision Tree, SVM
  3. Naive Bayes, KNN
  4. K-Means
  5. Random Forest
  6. Gradient Boosting
  7. Others


GUI

  • Streamlit
  • Flask


Frameworks

  • Jupyter Notebook
  • Google Colab


Why Choose Me

On time delivery of the work. 

Customer Satisfaction is our first priority


  • #data analysis #machinelearning #ai #deelearning #datavisualization #datamining #nlp #predictivemodeling #datacleaning 

Skills & Expertise

AnalyticsArtificial IntelligenceData ExtractionData VisualizationEngineeringObject Oriented ProgrammingProgrammingPythonSQLWeb Scraping

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