Service Detail

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

  1. Data Visualization
  2. Machine Learning
  • Logistic Regression Classifier
  • Linear Regression
  • K-nearest neighbor (KNN)
  • Decision Tree Classifier
  • Random Forest Classifier

Data Science , Machine Learning