I will develop data science web app dashboards using python, data analysis, ml
I will develop data science web app dashboards using python, data analysis, ml
I can develop a very professional looking dashboard for your business, project or your idea. I can also do a detailed data analysis and data preparation prior to the dashboard development as well as the model development and application of various machine learning approaches following the best data science practices.
Get I will develop data science web app dashboards using python, data analysis, ml
If you have your model and your idea or if you have your data and your idea or you have an idea and an approach for the data extraction, I am happy to setup a call to discuss your project needs in more details or you can also send me a detailed project brief with your budget, proposed timeline and project goals and app screens (just sketches) if any or just a description of the app dashboard workflow with the components you'd like to showcase in the application.
There are many libraries available for data analysis in Python. Here are some of the most popular ones:
- Pandas: Pandas is a library that provides easy-to-use data structures and data analysis tools.
- NumPy: NumPy is a library that provides support for large, multi-dimensional arrays and matrices.
- SciPy: SciPy is a library that provides support for scientific and technical computing.
- Matplotlib: Matplotlib is a library that provides support for data visualization.
- Seaborn: Seaborn is a library that provides support for advanced data visualization.
- Statsmodels: Statsmodels is a library that provides support for statistical analysis.
- Bokeh: Bokeh is a library that provides support for interactive visualization.
- Plotly: Plotly is a library that provides support for 3D visualization.
There are many libraries available for machine learning in Python. Here are some of the most popular ones:
- Scikit-learn: Scikit-learn is a library that provides support for machine learning algorithms.
- TensorFlow: TensorFlow is a library that provides support for machine learning and deep learning.
- Keras: Keras is a library that provides support for building neural networks.
- PyTorch: PyTorch is a library that provides support for machine learning and deep learning.
- Theano: Theano is a library that provides support for machine learning and deep learning.
- Caffe: Caffe is a library that provides support for deep learning.
- MXNet: MXNet is a library that provides support for deep learning.
- CNTK: CNTK is a library that provides support for deep learning.
