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Pravallikab29/README.md

Hi there 👋

My Technical Skillset

  • 👩🏻‍💻 Programming Languages- Python, SQL

  • 🧰 Librabries - Pandas, Numpy, Tensorflow, NLTK, Scikit-Learn, Matplotlib, Seaborn, Keras

  • Data Analysis - Data Cleaning, Data preprocessing, Data Manipulation, Feature Engineering, Data Mining

  • Machine Learning - Linear Regression, Logistic Regression, Naive Bayes, Clustering, Support Vector Machine (SVM), Anomaly Detection, Decision Tree, Principal Component Analysis, Random Forest

  • Nerural Neworks - ANN, CNN, RNN, LSTM

  • Natural Language Processing

  • 🗄️ Databases - AWS Redshift, MySQL, Oracle, MongoDB

  • 💻 Data Visualization Tools - Tableau, Power BI, Quicksight, Excel

  • Tools - Jupyter, Github Desktop, Weka, Google Colab

Pinned Loading

  1. Customer-Segmentation-and-Purchasing-Behavior-Analysis Customer-Segmentation-and-Purchasing-Behavior-Analysis Public

    Jupyter Notebook

  2. Data-Science-Projects Data-Science-Projects Public

    Jupyter Notebook

  3. Image_Recognition-Deep-Learning-Projects Image_Recognition-Deep-Learning-Projects Public

    Jupyter Notebook

  4. Document-Similarity-Analysis Document-Similarity-Analysis Public

    Jupyter Notebook

  5. User-Profiling-and-Segmentation-using-K-Means-Clustering User-Profiling-and-Segmentation-using-K-Means-Clustering Public

    Jupyter Notebook

  6. American-Airlines-Reviews-Sentiment-Analysis American-Airlines-Reviews-Sentiment-Analysis Public

    Jupyter Notebook