You will get end-to-end data science projects
Project details
I have extensive experience in the field of Data Science and Analytics, specializing in both Python and R. I have worked on various tasks related to both supervised and unsupervised learning.
Key tasks I have worked on include:
• Supervised Learning: Classification and Regression
• Unsupervised Learning: Clustering
I also have applied the following techniques:
• Data Preprocessing: Scikit-learn
• Model Building: Scikit-learn
• Data Analysis: Numpy & Pandas
• Data Visualization: Matplotlib & Seaborn
Feel free to CONTACT ME BEFORE PLACING AN ORDER for any additional inquiries or custom requests.
Key tasks I have worked on include:
• Supervised Learning: Classification and Regression
• Unsupervised Learning: Clustering
I also have applied the following techniques:
• Data Preprocessing: Scikit-learn
• Model Building: Scikit-learn
• Data Analysis: Numpy & Pandas
• Data Visualization: Matplotlib & Seaborn
Feel free to CONTACT ME BEFORE PLACING AN ORDER for any additional inquiries or custom requests.
Machine Learning Tools
Apache Spark, Google Data Studio, Google Sheets, Keras, Microsoft Excel, NumPy, pandas, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, SQL, TensorFlow, XGBoostWhat's included $50
These options are included with the project scope.
$50
- Delivery Time 3 days
- Number of Revisions Unlimited
- Number of Model Variations 5
- Number of Scenarios 3
- Number of Graphs/Charts 20
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
About Davis
Data Science & Analytics
Bekasi, Indonesia - 9:01 pm local time
Skilled in Python, SQL, machine learning, data visualization, and statistical analysis. Proficient with tools like Pandas, Scikit-learn, TensorFlow, and Tableau.
I manage projects from data collection to deployment and communicate findings clearly and regularly because consistent collaboration leads to better results.
Let’s connect and put your data to work.
Steps for completing your project
After purchasing the project, send requirements so Davis can start the project.
Delivery time starts when Davis receives requirements from you.
Davis works on your project following the steps below.
Revisions may occur after the delivery date.
Data Science End-to-End
1. Requirement Gathering & Project Understanding 2. Data Collection & Exploration 3. Data Cleaning & Preparation 4. Modeling & Analysis 5. Results & Visualization 6. Final Deliverables