Course Content
1.
Accuracy Score
0 min
2 min
0
2.
Activation Function
0 min
2 min
0
3.
Algorithm
0 min
2 min
0
4.
Assignment Operator (Python)
0 min
2 min
0
5.
Artificial General Intelligence (AGI)
0 min
3 min
0
6.
Artificial Intelligence
0 min
4 min
0
7.
Artificial Narrow Intelligence (ANI)
0 min
3 min
0
8.
Artificial Neural Network (ANN)
0 min
2 min
0
9.
Backpropagation
0 min
2 min
0
10.
Bias
0 min
2 min
0
11.
Bias-Variance Tradeoff
0 min
2 min
0
12.
Big Data
0 min
2 min
0
13.
Business Analyst (BA)
0 min
2 min
0
14.
Business Analytics (BA)
0 min
2 min
0
15.
Business Intelligence (BI)
0 min
1 min
0
16.
Categorical Variable
0 min
1 min
0
17.
Clustering
0 min
2 min
0
18.
Command Line
0 min
1 min
0
19.
Computer Vision
0 min
2 min
0
20.
Continuous Variable
0 min
1 min
0
21.
Cost Function
0 min
2 min
0
22.
Cross-Validation
0 min
2 min
0
23.
Data Analysis
0 min
7 min
0
24.
Data Analyst
0 min
4 min
0
25.
Data Science
0 min
1 min
0
26.
Data Scientist
0 min
6 min
0
27.
Early Stopping
0 min
2 min
0
28.
Exploratory Data Analysis (EDA)
0 min
2 min
0
29.
False Negative
0 min
1 min
0
30.
False Positive
0 min
1 min
0
31.
Google Colaboratory
0 min
2 min
0
32.
Gradient Descent
0 min
2 min
0
33.
Hidden Layer
0 min
2 min
0
34.
Hyperparameter
0 min
2 min
0
35.
Image Recognition
0 min
2 min
0
36.
Imputation
0 min
2 min
0
37.
K-fold Cross Validation
0 min
2 min
0
38.
K-Means Clustering
0 min
2 min
0
39.
Linear Regression
0 min
2 min
0
40.
Logistic Regression
0 min
1 min
0
41.
Machine Learning Engineer (MLE)
0 min
5 min
0
42.
Mean
0 min
2 min
0
43.
Neural Network
0 min
2 min
0
44.
Notebook
0 min
3 min
0
45.
One-Hot Encoding
0 min
2 min
0
46.
Operand
0 min
1 min
0
47.
Operator (Python)
0 min
1 min
0
48.
Print Function (Python)
0 min
1 min
0
49.
Python
0 min
5 min
0
50.
Quantile
0 min
1 min
0
51.
Quartile
0 min
1 min
0
52.
Random Forest
0 min
2 min
0
53.
Recall
0 min
2 min
0
54.
Scalar
0 min
2 min
0
55.
Snake Case
0 min
1 min
0
56.
T-distribution
0 min
2 min
0
57.
T-test
0 min
2 min
0
58.
Tableau
0 min
2 min
0
59.
Target
0 min
1 min
0
60.
Tensor
0 min
2 min
0
61.
Tensor Processing Unit (TPU)
0 min
2 min
0
62.
TensorBoard
0 min
2 min
0
63.
TensorFlow
0 min
2 min
0
64.
Test Loss
0 min
2 min
0
65.
Time Series
0 min
2 min
0
66.
Time Series Data
0 min
2 min
0
67.
Test Set
0 min
2 min
0
68.
Tokenization
0 min
2 min
0
69.
Train Test Split
0 min
2 min
0
70.
Training Loss
0 min
2 min
0
71.
Training Set
0 min
2 min
0
72.
Transfer Learning
0 min
2 min
0
73.
True Negative (TN)
0 min
1 min
0
74.
True Positive (TP)
0 min
1 min
0
75.
Type I Error
0 min
2 min
0
76.
Type II Error
0 min
2 min
0
77.
Underfitting
0 min
2 min
0
78.
Undersampling
0 min
2 min
0
79.
Univariate Analysis
0 min
2 min
0
80.
Unstructured Data
0 min
2 min
0
81.
Unsupervised Learning
0 min
2 min
0
82.
Validation
0 min
2 min
0
83.
Validation Loss
0 min
1 min
0
84.
Vanishing Gradient Problem
0 min
2 min
0
85.
Validation Set
0 min
2 min
0
86.
Variable (Python)
0 min
1 min
0
87.
Variable Importances
0 min
2 min
0
88.
Variance
0 min
2 min
0
89.
Variational Autoencoder (VAE)
0 min
2 min
0
90.
Weight
0 min
1 min
0
91.
Word Embedding
0 min
2 min
0
92.
X Variable
0 min
2 min
0
93.
Y Variable
0 min
2 min
0
94.
Z-Score
0 min
1 min
0
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The command line is a text-based interface used to interact with a computer's operating system or command-line interface (CLI). It allows users to issue commands and perform various tasks by typing in text commands, rather than using a graphical user interface (GUI).
When using the command line, users can navigate through files and directories, create and delete files and directories, run programs, and perform various system maintenance tasks. Commands are typically entered into a command prompt, which is a text-based interface that displays information about the current directory and other system information.
The command line can be found on many operating systems, including Windows, macOS, and Linux. It is often used by developers, system administrators, and power users who need to perform complex tasks quickly and efficiently. While it can be intimidating at first, learning how to use the command line can be a valuable skill that can greatly enhance one's productivity and efficiency when working with a computer.
Below is an example of the "Terminal" application which is used on machines that run MacOS.
