Projects that I have made during my college

    Image Classification for CIFAR-10:
  • Using Keras code I have build an Image Classifier for CIFAR-10 dataset. The CIFAR-10 dataset is a well-known dataset used for machine learning and computer vision research. It is widely used for training machine learning models, especially in the context of image classification.
  • I have used, TensorFlow, NumPy, Keras, seaborn, Matplotlib and few more libraries and modules for this project.

    • Naive Bayes for Text Classification:
  • Successfully applied Naive Bayes for Text Classification, showcasing expertise in practical implementation.
  • Utilized NLP techniques for efficient data preprocessing, achieving effective categorization in diverse tasks, and enhancing model performance through features like TF-IDF.

    • Sentiment Analysis using Text Blob:
  • Applied Text Blob tool to conduct Sentiment Analysis, exploring both polarity and intensity in textual data.
  • corpora (language data) required by Text Blob is used for performing sentiment analysis.

    • Mini-Blog project using Flask:
  • During this period, I have worked on different Python frameworks and Libraries like (Frameworks: Django, Flask, Libraries: Pandas, NumPy, Unit Test, JSON, SciPy).
  • I also created a MicroBlog web page using the Flask framework. For Front-end I have used HTML, CSS, and Javascript and for the Back-end I have used Python as a server-side scripting language and MongoDB for database.