Author: Naveen
How Instagram uses Machine Learning
Instagram is one of the most popular social media applications today. As with any business today, there are many areas where Instagram uses data science. So, if you want to know how Instagram uses Machine Learning, this article is for you. In this article, we’ll take a look at some of the ways Instagram uses machine learning. Below are some of the ways Instagram is using data science for their business. Instagram…
Read MoreImportant Machine Learning Concepts Part – 2
Ensemble Learning Training multiple models with different parameters to solve the same problem. A/B Testing Statistical way of comparing 2+ techniques to determine which technique performs better and also if difference in statistically significant. Baseline Model Simple model/heuristic used as reference point for comparing how well a model is performing. Bias Prejudice or favourite towards…
Read MoreImportant Machine Learning Concepts Part – 1
Features Input data/variables used by the ML model. Feature Engineering Transforming input features to be more useful for the models. e.g., mapping categories to buckets, normalizing between -1 and 1, removing null. Train/Eval/Test Training is data used to optimize the model, evaluation is used to asses the model on new data during training, test is…
Read MoreWhat is selection Bias?
Selection bias is a kind of error that occurs when the researcher decides who is going to be studied. It is usually associated with research where the selection of participants isn’t random. It is sometimes referred to as the selection effect. It is the distortion of statistical analysis, resulting from the method of collecting samples.…
Read MoreStress Detection Project using Machine Learning
Stress, tension, and misery are undermining the psychological well-being of individuals. Each individual has a justification behind having an unpleasant life. Individuals frequently discuss their thoughts via web-based entertainment stages like on Instagram as posts and stories, and on Reddit through requesting ideas about their life on subreddits. In the beyond couple of years, many…
Read MoreNumPy for Data Science – Part 5
The difference between copy and view Copy View Join & split function Join array – joining means putting contents of two or more array in a single array. hstack vs vstack The major difference is that np.hstack combines NumPy arrays horizontally and np.vstack combines arrays vertically. Split – splitting breaks one array into multiple. NumPy…
Read MoreHierarchical clustering for Machine Learning
Hierarchical clustering is another unsupervised machine learning algorithm, which is used to group the unlabeled datasets into a cluster. Hierarchical Clustering creates clusters in a hierarchical tree-like structure (also called a Dendogram) as it creates a subset of similar data in a tree-like structure in which the root node corresponds to the entire data, and…
Read MoreDifference between Data Science and Machine Learning
Data Science Data science is a field that studies data and how to extract meaning from it, using a series of methods, algorithms, systems, and tools to extract insights from structured and unstructured and unstructured data. That knowledge then gets applied to business, government, and other bodies to help drive profits, innovate products and services…
Read MoreDifference between Data Scientist and Data Analyst
What are their skills? Data Analyst Data Mining Data Warehousing Math, Statistics Tableau and data visualization SQL Business Intelligence Advanced Excel skills Data Scientist Data Mining Data Warehousing Math, Statistics, Computer Science Tableau and Data Visualization/Storytelling Python, R, JAVA, Scala, SQL, Matlab, Pig Economics Big Data/Hadoop Machine Learning Educational requirements Data Analyst Foundational math, statistics…
Read MoreDifference between Data Scientist and Data Engineer
What do they do? Data Engineers Data Engineers design, build, test, integrate, and optimize data collected from multiple sources. They use Big Data tools and technologies to construct free-flowing data pipelines that facilitate real-time analytics applications on complex data. Data Engineers also write complex queries to improve data accessibility. Data Scientist Data Scientists are more…
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