About:
As a Data Science practitioner, I can do Tentative Data Analysis and Feature Engineering work using key Machine Learning Algorithms including:
- Linear Regression
- Logistic Regression
- SVM
- Naive Bayes
- KNN
- K-Means
- Principle Component Analysis
- Artificial Neural Networks (ANN)
- Stacking
- XG BOOST
- Gradient Boosting
- Ada Boost
- Extra Tree
- TPOT
- Voting ensembling
- Decision Trees
- Random Forest
- One hot encoding
- Binning
- Data Visualization
- Perceptron Learning
I can also implement recommendation systems collaborative learning technique.
I have hands-on experience working with:
- Scipy
- Numpy
- Matplotlib
- Pandas
- Tensorflow
- NLP
- Keras
I can also provide you with performance metrics, visualizations, and evaluation report of the algorithm.
Feel free to Contact me regarding your Machine Learning and Data Science problems, I am open to queries and negotiation.
Note: Charges will differ on the complexity of a problem, data set, specific requirement and accuracy expectation.
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