Browse categories
Explore
Fiverr Pro
English
$
USD
Looks Like This Service Is On Hold
I will build machine learning python models, data science, deep learning
About this Gig
Welcome! to my gig
"Machine learning models, data science, deep learning using python"
If you're seeking someone who can provide you with high-quality data science or machine learning projects in Python, you've come to the right place.
I offer a range of services, including creating machine learning tasks or deep learning projects from scratch, processing and visualizing data, implementing unsupervised learning algorithms, creating NLP projects, and conducting time series analysis.
key Words:
- Data collection
- Data preprocessing
- Data analysis
- Data visualization
- Decision tree
- linear regression
- Multi class regression
- Predictive modelling
- Data wrangling
- Random forest
- Algorithms
- Deep learning
- NLP
- CNN
- Jupyter notebook and more
Please note that project prices may vary based on complexity, and I appreciate you contacting me before placing an order directly.
machine learning |python |deep learning |data science |classification |ai |computer vision |python programming |data visualization |data mining |nlp |machine |python data science|python projects |tensorflow |pytorch |neural network |learning |data visulization |model training |object detectiON
Technology:
BigQuery
•
Excel
•
Google Sheets
•
Python
•
SQL
•
NoSQL
FAQ
What services do you offer?
I offer a range of services including: Machine learning model development Data preprocessing and analysis Deep learning model creation (e.g., neural networks, CNNs, RNNs) Data visualization Model evaluation and optimization Consulting and tutoring in data science and machine learning
What types of machine learning models can you build?
I can build various types of models including: Supervised learning models (e.g., regression, classification) Unsupervised learning models (e.g., clustering, dimensionality reduction) Reinforcement learning models Deep learning models (e.g., convolutional neural networks, recurrent neural networks
What technologies and tools do you use?
I use a variety of tools and technologies, including: Python (with libraries such as Scikit-learn, TensorFlow, Keras, PyTorch, Pandas, NumPy) Jupyter Notebooks SQL for database management Visualization tools like Matplotlib, Seaborn, and Plotly Cloud services like AWS, Google Cloud, and Azure for s
What kind of data do you work with?
I can work with all types of data, including: Structured data (e.g., CSV, Excel files) Unstructured data (e.g., text, images, audio) Time series data Big data from databases or cloud storage
How do you ensure the quality of the models?
I follow a rigorous process to ensure model quality: Data cleaning and preprocessing Exploratory data analysis (EDA) Model selection and hyperparameter tuning Cross-validation Performance evaluation using metrics such as accuracy, precision, recall, F1 score, ROC-AUC, etc. Documentation and reprodu
