Courses

Programming, Git, Machine & Deep Learning courses I participated in.

• Introduction to TensorFlow for AI, ML and DL • 10 Mar 2019 - • in progress • Course level: basic
  [AI] [Tensorflow] [DeepNeuralNetworks] [ConvolutionalNeuralNetworks]
  Rating: _/5
• AI For Everyone • 9 Mar 2019 - 9 Mar 2019 • done • Course level: basic
  [AI] [Machine Learning] [Business]
  Rating: 4/5
• DEV 360 - Introduction to Apache Spark (Spark v2.1) • 17 Oct 2018 - • in progress • Course level: intermediate/advanced
  [Spark] [MapR Academy]
  Rating: _/5
• How to win a Data Science competition - learn from top Kagglers • 28 Nov 2017 - • in progress • Course level: intermediate/advanced
  [NationalResearchUniversityHigherSchoolOfEconomics] [Coursera]
  Rating: _/5
• Tidy Data in Python Mini-Course • 28 Nov 2017 - 28 Nov 2017 • done • Course level: basic
  [Pandas] [pd.melt] [DataCamp]
  Rating: 4/5
• Kaggle Python Tutorial on Machine Learning • 28 Nov 2017 - 28 Nov 2017 • done • Course level: basic/intermediate
  [DecisionTree] [RandomForest] [Titanic] [Kaggle] [DataCamp]
  Rating: 3/5
• Intro to Python for Data Science • 27 Nov 2017 - 28 Nov 2017 • done • Course level: basic
  [Python] [numpy] [DataCamp]
  Rating: 2/5
• Intro to SQL for Data Science • 25 Nov 2017 - 26 Nov 2017 • done • Course level: basic
  [SQL] [database] [DataCamp]
  Rating: 3/5
• Introduction to Git for Data Science • 25 Nov 2017 - 25 Nov 2017 • done • Course level: basic/intermediate
  [Git] [DataCamp]
  Rating: 4/5
• Introduction to Python & Machine Learning (with Analytics Vidhya Hackathons) • 20 Nov 2017 - 24 Nov 2017 • done • Course level: basic
  [Python] [Pandas] [predictive models] [DataCamp]
  Rating: 3/5
• Deep Learning by Google • 26 Oct 2017 - 10 Nov 2017 • done • Course level: intermediate/advanced
  [DeepNeuralNetworks] [ConvolutionalNeuralNetworks] [Text] [TensorFlow] [Google] [Udacity]
  Rating: 4/5
• Applied Social Network Analysis in Python • 1 Nov 2017 - 17 Nov 2017 • done • Course level: intermediate/advanced
  [Graphs] [NetworkX] [PreferentialAttachmentModel] [SmallWorldNetworks] [UniversityOfMichigan] [Coursera]
  Rating: 2/5
• Applied Text Mining in Python • 1 Nov 2017 - 17 Nov 2017 • done • Course level: intermediate/advanced
  [Text] [NaturalLanguageProcessing] [UniversityOfMichigan] [Coursera]
  Rating: 5/5
• Applied Machine Learning in Python • 1 Nov 2017 - 17 Nov 2017 • done • Course level: intermediate/advanced
  [SciKitLearn] [Regression] [Clasification] [Evaluation] [Ensembles] [UniversityOfMichigan] [Coursera]
  Rating: 5/5
• Applied Plotting, Charting & Data Representation in Python • 1 Nov 2017 - 17 Nov 2017 • done • Course level: basic
  [Visualization] [UniversityOfMichigan] [Coursera]
  Rating: 3/5
• Introduction to Data Science in Python • 1 Nov 2017 - 17 Nov 2017 • done • Course level: basic
  [Python] [Pandas] [UniversityOfMichigan] [Coursera]
  Rating: 4/5
• Sequence Models • 30 Nov 2017 - • in progress • Course level: intermediate/advanced
  [Deeplearning.ai] [Coursera]
  Rating: _/5
• Convolutional Neural Networks • 1 Nov 2017 - 8 Nov 2017 • done • Course level: intermediate/advanced
  [ConvolutionalNeuralNetworks] [ObjectDetection] [FaceRecognition] [Deeplearning.ai] [Coursera]
  Rating: 4/5
• Structuring Machine Learning Projects • 11 Aug 2017 - 17 Oct 2017 • done • Course level: basic
  [Examples] [Deeplearning.ai] [Coursera]
  Rating: 3/5
• Improving Deep Neural Networks. Hyperparameter tuning, Regularization and Optimization • 11 Aug 2017 - 17 Oct 2017 • done • Course level: intermediate/advanced
  [NeuralNetworks] [Optimization] [Hyperparameters] [Deeplearning.ai] [Coursera]
  Rating: 4/5
• Neural Networks and Deep Learning • 11 Aug 2017 - 15 Oct 2017 • done • Course level: intermediate/advanced
  [NeuralNetworks] [Numpy] [Vectorization] [Backpropagation] [DeepNN] [Deeplearning.ai] [Coursera]
  Rating: 5/5
• Machine Learning Stanford University • 11 Aug 2017 - 10 Oct 2017 • done • Course level: intermediate/advanced
  [ML] [Linear Algebra] [Regression] [Classification] [Overfitting] [NeuralNetworks] [Bias-Variance] [SupportVectorMachine] [Clustering] [PrincipalComponentsAnalysis] [AnomalyDetection] [RecommenderSystems] [PhotoOCR] [Coursera]
  Rating: 5/5