abilashkanagasabai / deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

Hi there, I'm Abilash K👋

Hi there, I'm Abilash K! 👋

I'm a Data Science Enthusiast

Talking about Personal Stuffs:

• 👨🏽‍💻 I am working as Data Scientist
• ⏳ I am constantly learning and keep myself updated with the latest technologies in AI.
• 🤔 My interests are in Data Science, AI.
• 💬 Ask me about anything, I am happy to help.
• 📫 Please email via [email protected] to reach me.
• 📝 See my Resume to get more info.

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Things I'm good at 🔥

Languages: Python, C,C++.

Machine Learning Algorithms include Linear Regression, Ridge Regression, Lasso Regression, SVM, Logistic Regression, Decision Trees, Random Forest, KNN, Naïve Bayes,K-means Clustering, Hierarchical Clustering.

Deep Learning Algorithms include Artificial Neural Network, Convolution Neural Network,Recurrent Neural Network, LSTM, YOLO,Open CV.

Skilled in libraries such as , Sklearn for Machine Learning, Keras, Tensorflow for Deep Learning , Numpy, Pandas for Data Manipulation, Matplotlib and Seaborn for Data Visualization.

Libraries & Tools: NumPy, Pandas, Scikit-Learn, SciPy, Matplotlib,Seaborn, keras, PyTorch, Keras, NLTK, Tensorflow.

Operating systems : Windows 10/ Linux(Ubuntu).

Skills 🚀

                     

You have finally discovered my Github profile!!
Please feel free to clone projects and raise issues if you think something could be better.
Happy Coding!!

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