Pinned Repositories
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
decisionTree
Basic decision tree implementation in python, exercise for Northwestern EECS 349: Machine Learning course
Exploratory_Data_Analysis
fuzzy-c-means
Fuzzy c-means Clustering
Fuzzy_Clustering
An algorithm which uses fuzzy logic to group similar data samples together, implemented on Iris dataset
intro-to-dl
Resources for "Introduction to Deep Learning" course.
keras
Deep Learning for humans
LearnDataScience
Open Content for self-directed learning in data science
linear-regression-sklearn
Multivariate linear regression with sklearn
anilroyal's Repositories
anilroyal/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
anilroyal/models
Models and examples built with TensorFlow
anilroyal/r-server-hospital-length-of-stay
Hospital length of stay prediction solution with Microsoft R Server
anilroyal/keras
Deep Learning for humans
anilroyal/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
anilroyal/intro-to-dl
Resources for "Introduction to Deep Learning" course.
anilroyal/UMAP_Nonlinear-Dimensionality-Reduction_Benchmark
A primer to Uniform Manifold Approximation and Projection (UMAP)
anilroyal/fuzzy-c-means
Fuzzy c-means Clustering
anilroyal/machine-learning
Content for Udacity's Machine Learning curriculum
anilroyal/project-
anilroyal/scikit-learn
scikit-learn: machine learning in Python
anilroyal/Fuzzy_Clustering
An algorithm which uses fuzzy logic to group similar data samples together, implemented on Iris dataset
anilroyal/pbpython
Code, Notebooks and Examples from Practical Business Python
anilroyal/newproject
anilroyal/Project
Incremental Network Quantization, Kmeans quantization, Iterative Pruning, Dynamic Network Surgery
anilroyal/urban-data-science
Course materials, Jupyter notebooks, tutorials, guides, and demos for a Python-based urban data science course.
anilroyal/support-vector-machine-Boston-Housing-data
anilroyal/linear-regression-sklearn
Multivariate linear regression with sklearn
anilroyal/Exploratory_Data_Analysis
anilroyal/data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
anilroyal/LearnDataScience
Open Content for self-directed learning in data science
anilroyal/decisionTree
Basic decision tree implementation in python, exercise for Northwestern EECS 349: Machine Learning course