I will do data science and machine learning using python
About This Service
Time Series Analysis
Business Risk Analysis
All kind of sentiment Analysis
Machine learning models utilizing multivariate/logistic regression, lasso/ridge regression, linear/quadratic discriminant analysis, decision trees, K neighbors, Naive Bayes, random forest, support vector machine, Adaptiveboost, GradientBoost, XGB, and portfolio optimization to maximize return and minimize volatility for various investor risk profiles.
Deep learning modeling using recurrent neural networks, Tensorflow, nltk, sentiment analyzer, Keras LSTM, and convolutional neural networks, in attempt to predict specific asset class forecasted prices through stocks, forex, bonds, futures, ETFs, and other derivatives.
Essential Skills We Have:
Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, PyTorch, TensorFlow, Keras
Data Pre-Processing:
a) Dealing with missing data
b) Data imputation
c) Handling categorical data
d) Encoding class labels for classification problems
e) Techniques of feature transformation
- Data Visualization
- Machine Learning
- Logistic Regression Classifier
- Linear Regression
- K-nearest neighbor (KNN)
- Decision Tree Classifier
- Random Forest Classifier
Data Science , Machine Learning