You will get machine learning predictive models with analysis
- Delivery Time 3 days
- Number of Revisions 3
- Number of Model Variations 6
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity -
- Source Code
Project detailsYou will get an analysis of how different machine learning predictive models perform on your dataset. With more than three years' experience in data science and predictive modeling, I purse to mine the gold from data and provide insights about how machine learning can help to boost your business. High quality work and 100% satisfaction!
- 1Outline how the project would go on
- 2Deliver models and analysis results
Pre-process the dataset and provide ncessary data visualizations. Compare results from 6 models in scikit-learn (LR, SVM, DT, RF, GBDT, LightGBM), and show the feature importances. Analyze each model based on metrics and make a conclusion.
- 3Necessary improvements
- 4Final deliverables
Include Jupyter Notebook (with HTML version), trained model files.
- 1Dataset to work with
- 2Goal (what to predict based on what)
- 3Other requirements (e.g., data pre-processing, deliverables)
✓ Solid background in Mathematics and statistics
✓ Skilled with data science tools, including Python, R, Matlab, Linux, MongoDB
✓ Skilled with deep learning framework, including Caffe, Tensorflow, Keras, PyTorch
✓ Familiar with machine learning algorithms, including LightGBM, XGBoost, RF, LR, FFM
✓ Familiar with various of NN architecture, including CNN (AlexNet, ResNet, GAN), RNN, DNN
- Strong problem-solving skills
- Highly object/goal oriented
- Paying attention to details
- Easy to communicate
Your satisfaction is my drive!!!