You will get Machine Learning to Predict your Project or Business Using Scikit-Learn
Project details
I will help you to create a model machine learning to create prediction based on data using python in jupyter notebook. I will use the libraries such as pandas, seaborn, matplotlib, scikit-learn to help me work and many things will you get in this offer:
️1. Cleaned dataset using Pre-processing data to clean the data from duplicates, missing values, and others.
2️. Select the features with most important to the model machine learning using feature engineering
️3. Splitting the dataset for training and testing
️4. Choose the best algorithm for your dataset (classification or regression)
️5. Create metric scores to get briefly that your model machine learning is good or not
6. (️Standard Offering) Optimize the model by tuning it's hyperparameter
️7. (Advanced Offering) Add Exploratory Data Analysis (EDA) to get insights into your data
Please describe clearly your project first, and choose the offering package
Thank you...
️1. Cleaned dataset using Pre-processing data to clean the data from duplicates, missing values, and others.
2️. Select the features with most important to the model machine learning using feature engineering
️3. Splitting the dataset for training and testing
️4. Choose the best algorithm for your dataset (classification or regression)
️5. Create metric scores to get briefly that your model machine learning is good or not
6. (️Standard Offering) Optimize the model by tuning it's hyperparameter
️7. (Advanced Offering) Add Exploratory Data Analysis (EDA) to get insights into your data
Please describe clearly your project first, and choose the offering package
Thank you...
Machine Learning Tools
pandas, Python, Python Scikit-Learn, scikit-learn, XGBoostWhat's included
| Service Tiers |
Starter
$10
|
Standard
$15
|
Advanced
$30
|
|---|---|---|---|
| Delivery Time | 3 days | 3 days | 3 days |
Number of Revisions | 3 | 4 | 5 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100About Fuad Arief
Data Analyst | Data Scientist | Machine Learning | Data Visualization
Cirebon, Indonesia - 6:20 pm local time
scientist, I took part in the international bootcamp program named Practicum in Indonesia as a Data
Scientist which is still ongoing (it has been running for 5 months from 9 months). I have mastered quite a
lot of data scientist fields such as Data Preprocessing/ETL, Exploratory Data Analyst (EDA), Business
Analyst, Data Visualization, and Machine Learning. I also have several projects that I have worked on
GitHub and also received several certificates such as from Kaggle, RevoU, and Practicum (You can check
on LinkedIn).
All These Skills in Entry Level:
Data Cleaning - clean and prepare data from unnecessary like missing values, duplicates, etc.
ETL (Extract Transform Load) - extract data from resources, transform and run it for
analytical processes.
Data Analysis - analyzing data to gain insights, identifying patterns, trends, hypothesis
testing, AB/testing, and etc.
Math and Statistics - use math and statistics to simplify data analysis, calculating probability.
Data Visualization - transform data into various visual graphs such as barcharts, trendlines,
pie charts, scatterplots, boxplots, interactive visualizations (Plotly and PowerBI).
Model Predictive - uses machine learning to assist in predicting future data for both the
classification cases or the regression cases.
Data Storytelling - storytelling with data to inform audiences of insights from data.
Analytical and Problem Solving - think critically to understand the data and find the best
solution based on the data.
Business Intelligence - processing data into interactive business information.
I Have Several Tools that will Help me to Solve Projects:
Programming Language: Python, DAX PowerBI, PowerQuery, Excel
Data Visualization: Seaborn, Matplotlib
Interactive Visualization: Plotly, PowerBI
Data Processing: Pandas
Machine Learning: Scikit-Learn, XGBoost
Numerical Data: Numpy
Geovisualization: Geopandas, Folium
Statistics: Scipy
SQL: SQL
Regular Expression: Re
Version Control Sytem: Git and GitHub
Steps for completing your project
After purchasing the project, send requirements so Fuad Arief can start the project.
Delivery time starts when Fuad Arief receives requirements from you.
Fuad Arief works on your project following the steps below.
Revisions may occur after the delivery date.
Purchase and Fill Requirements
Client purchases the project and sends requirements.
Solve The Project
I will proceed your project completely as the requirements and kind of packages you choose