NLP
Language and Knowledge
Language and Knowledge in NLP: How Machines Understand Human Language Natural Language Processing (NLP) is a branch of artificial intelligence tha…
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NLP
A Deep Dive into Natural Language Processing Pipelines
A Deep Dive into Natural Language Processing Pipelines Introduction: In the vast realm of artificial intelligence, Natural Language Processing (NLP)…
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Machine Learning
Outlier detection and removal:
Outlier detection and removal: What are outliers? Outliers are the values which are abnormal or different from the rest of the values. This may be d…
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Machine Learning
Hypothesis Testing:
Hypothesis Testing: What is hypothesis testing? Hypothesis testing is a statistical tool or a type of statistical inference which is used to draw co…
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Machine Learning
Handling missing values in data science:
Handling missing values: What are missing values? While collecting data by web scrapping or from other sources some values may be missing or may no…
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Machine Learning
Sampling techniques:
What is sampling? Sampling is a technique which is used to select a portion of the population to represent the population.
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Machine Learning
Types of distributions in statistics:
Types of distributions in statistics: Types of distributions
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Machine Learning
Descriptive statistics and Inferential statistics- two major categories of statistics:
Statistics is broadly classified into two categories, they are,
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Machine Learning
What is Data science and the life cycle of Data science ?
What is Data science? Data science is a field of study which is used to extract knowledge and get new insights from large amount of data for decisio…
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Machine Learning
Implementation of Naïve Bayes classification algorithm using Iris dataset:
Naïve Bayes classification algorithm: Naïve Bayes classification algorithm works on conditional probability based on Bayes theorem. Mostly it is used…
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Machine Learning
Lasso and Ridge Regression (L1 and L2 Regularization):
Lasso and Ridge Regression (L1 and L2 Regularization): When the regression is under fitting then the accuracy of the test data may be low. When the…
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Machine Learning
Logistic Regression and its implementation in python:
What is the difference between Regression and classification? Classification and regression are the two types of supervised algorithms. Classifica…
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Machine Learning
Implementation of Support vector regression algorithm in Python (SVR):
Implementation of Support vector regression algorithm in Python (SVR): Support Vector Regression (SVR) is similar to Support Vector machine (SVM). …
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Machine Learning
Decision tree algorithm implementation using diabetic dataset in python
Decision tree algorithm implementation using diabetic dataset in python: Decision tree algorithm is a supervised learning algorithm, and it is used…
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Machine Learning
Linear regression in Machine learning using Python
Linear regression in Machine learning using Python: What is regression? Regression Regression algorit hms are used to predict continuous variables…
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Machine Learning
Types of machine learning for Data science:
Types of machine learning for Data science: What is machine learning? As we all know the machines, or the computers work based on the instructions w…
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Python for data science
Feature scaling Techniques for Machine learning in Python:
Feature scaling Techniques for Machine learning in Python: Why is scaling needed in Machine learning? The numerical features can be of different ran…
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Python for data science
Categorical Encoding techniques in machine learning using python:
Categorical Encoding techniques in machine learning using python: Why is encoding needed in machine learning? Datasets consists of both numerical an…
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Python for data science
Python for data science
Outlier detection and removal using Zscore in Python:
Outlier detection and removal using Zscore in Python:
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