You will get Machine Learning and Deep Learning Solutions for Data Science Projects
Project details
I hold a bachelor's degree in Data Science and have over 5 years of experience in Machine Learning and Deep Learning, specializing in Python with tools like Jupyter Notebook and Google Colab. My expertise includes data analysis using Numpy and Pandas, data visualization with Matplotlib and Seaborn, and various machine learning techniques such as classification, regression, clustering, and supervised learning. I employ models like linear regression, decision trees, random forest, SVM, and deep learning architectures like CNN and RNN for diverse applications, including time series analysis and NLP. I offer services in data preprocessing, visualization, sentiment analysis, and model training. Don't hesitate to contact me before placing an order. Thank you.
Machine Learning Tools
Amazon SageMaker, Apache Spark, Azure Machine Learning, ChatGPT, fastText, Google AutoML, GPT-3, Keras, MLflow, NLTK, NumPy, OpenCV, pandas, PyMC, Python, Python Scikit-Learn, PyTorch, R, SAS, scikit-learn, SciPy, SQL, TensorFlow, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$150
|
Advanced
$225
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | Unlimited |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $60Frequently asked questions
About Damindu
Machine Learning, Data analytic and Sinhalese Translating
Rajakadaluwa, Sri Lanka - 10:33 pm local time
Steps for completing your project
After purchasing the project, send requirements so Damindu can start the project.
Delivery time starts when Damindu receives requirements from you.
Damindu works on your project following the steps below.
Revisions may occur after the delivery date.
Initial Consultation
Discuss project objectives and clarify any questions.
Data Collection
Gather the necessary dataset(s) based on client specifications.