You will get Regression, Classification, Clustering, Statistical Analysis in Python

Jon P.Status: Offline
Jon P.

Let a pro handle the details

Buy Machine Learning services from Jon, priced and ready to go.
Jon P.Status: Offline
Jon P.

Let a pro handle the details

Buy Machine Learning services from Jon, priced and ready to go.

Project details

Hello and welcome to my project catalog. I am helping with your data science and data analyst projects.

What I experienced:
• Proficient in statistical analysis techniques such as descriptive analysis, hypothesis testing (including t-tests, ANOVA, chi-square tests), and regression analysis (including linear, logistic, and polynomial regression).
• Experienced in machine learning algorithms including decision trees, random forests, support vector machines, naive bayes, knn, dbscan, and clustering algorithms.
• Skilled in feature engineering, model evaluation, and optimization techniques.
• Proficiency in programming languages such as Python, and R for data analysis and modeling.
• Familiarity with data visualization tools like Matplotlib,Tableau, Seaborn, and ggplot2.

🏆 Why Choose Me:
• Dedicated to delivering high-quality results through rigorous analysis and meticulous attention to detail.
• Continuously learning and adapting to new techniques and technologies in the rapidly evolving field of data science and data analyst.
Machine Learning Tools
NLTK, NumPy, pandas, Python, scikit-learn, SciPy, XGBoost

What's included $10

These options are included with the project scope.

$10
  • Delivery Time 1 day
  • Number of Revisions 2
  • Number of Model Variations 4
  • Number of Scenarios 2
  • Number of Graphs/Charts 5
    • Model Validation/Testing
    • Source Code
Jon P.Status: Offline

About Jon

Jon P.Status: Offline
Data Scientist | Data Analyst
Manado, Indonesia - 7:31 pm local time
🎓 Education:
Graduated with a major in Mathematics, specializing in statistical analysis and machine learning modeling.

📊 Skills:
• Proficient in statistical analysis techniques such as descriptive analysis, hypothesis testing (including t-tests, ANOVA, chi-square tests), and regression analysis (including linear, logistic, and polynomial regression).
• Experienced in machine learning algorithms including decision trees, random forests, support vector machines, naive bayes, knn, dbscan, and clustering algorithms.
• Skilled in feature engineering, model evaluation, and optimization techniques.
• Proficiency in programming languages such as Python, and R for data analysis and modeling.
• Familiarity with data visualization tools like Matplotlib,Tableau, Seaborn, and ggplot2.

🏆 Why Choose Me:
• Dedicated to delivering high-quality results through rigorous analysis and meticulous attention to detail.
• Continuously learning and adapting to new techniques and technologies in the rapidly evolving field of data science and data analyst.

Steps for completing your project

After purchasing the project, send requirements so Jon can start the project.

Delivery time starts when Jon receives requirements from you.

Jon works on your project following the steps below.

Revisions may occur after the delivery date.

First Draft

Revision (if any)

Review the work, release payment, and leave feedback to Jon.