Top 10 Machine Learning Algorithms

Machine Learning Algorithms Every Engineer Should Know

1. Naïve Bayes Classifier Algorithm

2. K Means Clustering Algorithm

3. Support Vector Machine Algorithm

4. Apriori Algorithm

5. Linear Regression

6. Logistic Regression

7. Artificial Neural Networks

8. Random Forests

9. Decision Trees

10. Nearest Neighbours

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Class Weights for Handling Imbalanced Datasets

In scikit-learn, a lot of classifiers come with a built-in method of handling imbalanced classes. If we have highly imbalanced classes and have not addressed it during preprocessing, we have the option of using the class_weight parameter to weight the classes to make certain we have a balanced mix of each class. Specifically, the balanced argument will automatically weigh classes inversely proportional to their frequency. import numpy as np import pandas as pd import seaborn as sns import warnings from imblearn.over_sampling import SMOTE from imblearn.pipeline import make_pipeline from pylab import rcParams from sklearn.linear_model import LogisticRegression from sklearn.metrics import accuracy_score from sklearn.metrics import precision_score , recall_score from sklearn.metrics import f1_score , roc_auc_score , roc_curve from sklearn.model_selection import train_test_split from sklearn.model_selection import GridSearchCV In [2]:...

Data Science and Data Scientist

Data Science:- When we combine domain expertise and scientific methods with technology, we get Data Science. Data Science Data Scientist:- Data Scientists collect data and explore, analyze, and visualize it. They apply mathematical and statistical models to find patterns and solutions in the data. Data Scientist

Isolation Levels in SQL server

Types of isolations available in SQL Server. READ COMMITTED READ UNCOMMITTED REPEATABLE READ SERIALIZABLE SNAPSHOT

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