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  • Freelancer
  • UAE
  • 09:51 (UTC +04:00)

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Toqeer-Ahmad/README.md

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About Me:

AI was my passion and the reason behind doing a Master of Computer Science. However, I always kept myself away from coding even though my project was a "Macro Recorder" which I built single-handedly using C# during my Master's. In the present era stuff like Jupyter Notebook and Python, especially the frameworks and machine learning libraries have made the job very interesting. So I took some fundamentals courses to improve my Machine Learning/Data Science/AI skills. During this, I felt a spark inside for Machine Learning/Data Science/AI and felt "wow, I can do it". Machine Learning/Data Science/AI calls to my passion; it incorporates creativity, problem-solving, and the flexibility to break and improve the code.

What I love:

  • Machine learning
  • Artificial Intelligence
  • Data Science
  • Data Visualization

Data Science and Machine Learning scope:

  • Data analysis
  • Data visualization
  • Data Preprocessing
  • Classification and Clustering
  • Regression Trees and Random Forests
  • Linear And Polynomial Regression
  • Support Vector Machines
  • ElasticNet Regression
  • Logistic Regression
  • K-Nearest Neighbors
  • Naive Bayes
  • Supervised and Unsupervised Learning

Deep Learning scope:

  • Text Classification
  • Natural Language Processing(NLP)
  • Artificial Neural Networks (ANN)
  • Generative Adversarial Network (GAN)
  • Recurrent Neural Networks (RNN)
  • Convolutional Neural Network (CNN)

What's next:

Make most of the Data Science | Machine Learning and Artificial Intelligence with me. I can't stop waiting to make things happen for you. Let's chat via areverence@gmail.com and discover how I can be a good fit for your requirements!

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  1. Lunar-Lander Lunar-Lander Public

    In this Capston Project we will use Deep Q-Learning with Experience Replay to train an agent to land a lunar lander safely on a landing pad on the surface of the moon.

    Jupyter Notebook

  2. Anomaly-Detection Anomaly-Detection Public

    In this project, we will implement the anomaly detection algorithm and apply it to detect failing servers on a network.

    Jupyter Notebook

  3. Used-Car-Price-Prediction-Market-Analysis Used-Car-Price-Prediction-Market-Analysis Public

    End-to-end regression analysis with feature engineering, model comparison, and interpretation.

    Jupyter Notebook