You will get learning model optimized to fit your need and delivered on the agreed time
Project details
You will get a model that fits your need and that is optimized to perform and give good predictions on any dataset provided.
Machine Learning Tools
BERT, Keras, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$30
|
Standard
$40
|
Advanced
$80
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
Number of Revisions | 0 | 2 | 2 |
Number of Model Variations | 1 | 1 | 2 |
Number of Scenarios | 0 | 1 | 1 |
Number of Graphs/Charts | 2 | 3 | 3 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$10
Additional Model Variation
(+ 2 Days)
+$15
Additional Graph/Chart
(+ 1 Day)
+$7Frequently asked questions
About Kamau
Data Scientist, Machine Learning and Artificial Intelligence Engineer
Nairobi, Kenya - 10:56 am local time
1. Machine Learning: Experienced in developing a range of machine learning models, utilizing both supervised and unsupervised learning techniques.
2. Technical Proficiency: I have a solid background in Python, with two years of hands-on experience. I'm well-versed in libraries like Pandas, NumPy, Scikit-learn, and TensorFlow.
3. Machine Learning: I have experience in developing, deploying, and fine-tuning machine learning models, including techniques for regression, classification, and clustering.
4. Data Analysis: I excel in data preprocessing, exploratory data analysis, and creating visualizations using Matplotlib and Seaborn.
5. Problem Solving: My strong analytical and problem-solving abilities allow me to effectively identify and tackle data-related challenges.
6. Data Analysis: Proficient in data wrangling, exploratory data analysis, and visualization, using tools such as Pandas, NumPy, Matplotlib, and Seaborn.
7. Programming: Strong proficiency in Python, with a background in creating scalable data pipelines.
8. Statistical Analysis: Well-versed in statistical methods, allowing me to extract insights and provide data-driven recommendations.
Projects and Accomplishments.
1. Predictive Analytics Project: I developed a predictive model for customer churn using logistic regression.
2. Sales Forecasting: I implemented a time series forecasting model that enhanced sales prediction accuracy by 15%, which helped with inventory management.
Education.
Certifications: I have completed online courses in Artificial Intelligence, Machine Learning and Data Science from reputable platforms.
I am excited to apply my skills and experience in a challenging environment to promote data-driven decision-making.
Steps for completing your project
After purchasing the project, send requirements so Kamau can start the project.
Delivery time starts when Kamau receives requirements from you.
Kamau works on your project following the steps below.
Revisions may occur after the delivery date.
Import the necessary libraries for the project.
This step is important because this is where the magic happens and without the libraries like pandas working with datasets and manipulating them will be very difficult. The libraries help in making it easy to work with the dataset.
Load or read the Dataset into the program.
This step allows us to work with the data directly, where we can read and understand the dataset better.