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What is the relationship between airline sentiments and airlines? What is the reason for the negativity mentioned in the dataset? What is the relation of time with sentiments? Which model is best for sentiment analysis when we do ensemble learning?

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svm-boosting-dtree-twitter-sentiment-analysis-on-twitter-dataset's Introduction

Hi 👋, I'm Muhammad Usman

I'm

Data Analyst 🕸
Machine Learning Expert 💻
Python Developer 🐍
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Data Scientist, expertise in dealing with billions of data, correlation, investigation, and prediction using the techniques mentioned below. I am a quick learner and my ready-to-go attitude has helped me overcome challenges while working with any new technology stack.

Area of Expertise: - Big Data (Data Preparation, Exploration, Transformation, Model, Evaluation) - Supervised Machine Learning (Logistic Regression, Decision Tree, Naive Bayes, K-nearest neighbor, SVM, Regression) - Unsupervised Machine Learning (Clustering: K-means, DBSCAN, Hierarchical, BIRCH, EM-GMM, Association Analysis, Dimensionality Reduction) - Artificial Neural Networks - Ensemble Learning (Bagging, Boosting, Stacking, Random Forest) - Data Mining (Normalization, Extracting features, Selection of model, Training, Evaluation) - Text Mining (Tokenization, Stopwords Removal, Stemming, POS Tagging, Bag of Words, Words Embeddings)]