Deep Learning Deep Learning mock interview In this article at OpenGenus, we will understand the flow of a deep learning interview for a data science based role.
data science Product based Mock Interview for Data Science In this article at OpenGenus, we will get familiarized with the flow of a product-based interview round.
Machine Learning (ML) Machine learning mock interview In this article at OpenGenus, we will see how a machine learning interview for a data science job will be.
List of Interview Questions Mock Data Science Technical interview In this article, we will see the flow of a technical interview for a Data Science job and here, we will assume an imaginary candidate for the purpose of understanding how it really works.
List of Interview Questions Statistics mock technical interview In this article, we will get to know the flow of a statistical interview for a data science job with actual questions with sample answers.
data science Data Science Cheatsheet / List of all Data Science topics This is the most complete Data Science Cheatsheet which you should follow to revise all Data Science concepts within 30 minutes and get ready for Interviews and stay in form.
List of Interview Questions Culture Fit interview for Data Science job [Mock] In this article, we will get to know the flow of a culture fit interview for a Data Science job and some pointers on how you could answer the questions asked.
data science How is Deep Learning used for Data Science tasks? In this article, we will see how deep learning is used in Data Science.
data science Project ideas for Data Science In this article, we will get to know some ideas for data science projects.
data science Python questions for Data Science interviews We will discuss a basics of Python here as importance of Python for data science cannot be emphasized enough.
data science Different types of Hypotheses In this article, we will get to know about the various types of hypotheses in statistics.
data science Advanced interview questions on Data Science In this article, we have discussed 35 advanced data science questions asked in interviews.
data science Different Datasets available In this article, we will take a look at the various datasets available that can be used for different problems.
data science Sites to find different datasets In this article, we will see some of the data sources from where we can download and use datasets for free for our data science projects.
Machine Learning (ML) Different Hyperparameter optimization techniques In this article, we will explore various techniques used for optimizing hyperparameters of the machine learning model such as Grid Search, Bayesian Optimization, Halving randomized search and much more.
data science Statistical Features in Data Science In this article, we will understand about various statistical features like median, quartiles, inter quartile range (IQR), bias and variance.
data science Confidence intervals This article aims to improve our understanding on one of the basic concepts of statistics: confidence intervals.
data science Relation of Data Science to ML, AI, NLP, DL In this article, we will understand how data science is related to various other domains such as Machine learning, Artificial intelligence. Natural language Processing and Deep learning.
data science Over and under sampling This article aims to improve our understanding of oversampling and under sampling which are important concepts in Data Science.
data science Phases / life cycle of Data Science This article serves as an introduction to data science life cycle and gives an overview on the various phases.
data science Time series forecasting using Python [Stock Market Trends] In this article, we will see how time series forecasting is done using Python. We have forecasted / predicted the stock market trends of HDFC using NIFTY50 stock market data.
data science Time Series Analysis/ Forecasting Techniques + Models In this article, we will understand why time series analysis is important and how it is done using different techniques like Spectral analysis and different time series models like Auto-regressive (AR) model.
data science Manifold Learning In this article, we will explore manifold learning, which is extensively used in computer vision, data mining and natural language processing.
data science Empirical Risk Minimization In this article, we will explore Empirical Risk Minimization (ERM) technique used in machine learning.
data science Introduction to Time Series Data In this article, we will get an understanding of Time Series Data along with different types of time series, analysis and forecasting.