-
Transfer Learning Using Pre-trained Models in Deep Learning
Learn about transfer learning, pre-trained models, their benefits, usage, fine-tuning techniques, and projects for identifying digits.
Dishashree Gupta 30 Jan, 2025
-
Building Trust in Machine Learning Models (using LIME in Python)
This article helps us understand working of machine learning algorithms using LIME package. Using LIME, you can understand working of black box ML models.
Guest Blog 01 Jun, 2017
-
Hands on tutorial to perform Data Exploration using Elastic Search and Kibana (using Python)
ElasticSearch and Kibana is a highly scalable and open source. This tutorial will help you perform exploratory data analysis using ElasticSearch and Kibana.
Guest Blog 27 Oct, 2024
-
22 must watch talks on Python for Deep Learning, Machine Learning & Data Science (from PyData 2017, Amsterdam)
PyData 2017 held in Amsterdam includes talks on machine learning, deep learning and NLP. The content involved applications, tools and hands-on sessions.
Sunil Ray 25 Jun, 2019
-
40 Questions to test your skill in Python for Data Science
Here are 40 questions on python for data science. Answer these 40 questions to assess your skill and gain expertise in Python. Questions include pandas.
Faizan Shaikh 05 Jul, 2022
-
40 time series interview questions [Solution: SkillPower – Time Series]
Our expert guide to time series interview questions and answers will help you prepare for any data science job interview.
saurabh.jaju 27 Feb, 2024![40 time series interview questions [Solution: SkillPower – Time Series]](https://cdn.analyticsvidhya.com/wp-content/uploads/2017/04/10064538/Skilltest_timeseries_icon.png)
-
Natural Language Processing Made Easy – using SpaCy (in Python)
Learn Natural Language Processing (NLP) with Spacy in Python using examples. What are the various features offered by Spacy for NLP?
Shivam Bansal 25 Jun, 2019
-
Extracting information from reports using Regular Expressions Library in Python
This tutorial provides detailed explanation for extracting information from reports using Regular Expression library in Python.
Yogesh 29 Oct, 2024
-
TensorFlow 101: Understanding Tensors and Graphs to get you started in Deep Learning
TensorFlow is the popular library of deep learning. This article describes the basics of tensors and graphs and why tensors is important for tensorflow.
Guest Blog 24 May, 2020
-
Conditional Probability and Bayes Theorem in R for Data Science Professionals
Learn about conditional probability and Bayes theorem in this comprehensive article. Improve your understanding of data science algorithms.
Dishashree Gupta 04 Nov, 2024
