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28 видео
Practical Statistics for Machine Learning and Data Science with python
115 How to find the eigenvalues and eigenvectors of a square matrix using numpy in python.
112 How to find the rank of a matrix in python. For data science and machine learning.
107 How to find maximum or minimum value in arrays in python. For data science & machine learning.
106 How to apply vectorized functions to numpy arrays in python for data science & machine learning.
101 How to create vectors and matrices in python for machine learning and data science.
116 How to calculate the dot product of two vectors in python
117 How to add or subtract two matrices in python. For data science and machine learning.
111 How to flatten an array or a matrix in python. For data science and machine learning.
118 How to multiply two matrices in python. For data science and machine learning.
102 How to get the shape, size and dimension of numpy array or matrix in python for machine learning
109 How to reshape arrays in python.
114 How to get the trace and the diagonal elements of a matrix in python. For data science
lecture 5: Central tendency measures in python - Statistics for data science and machine learning
108 How to calculate descriptive statistics in python. For data science & machine learning.
Lecture3: Calculating the median in python Statistics for data science and machine learning
104 how to create a sparse matrix in python for data science and machine learning.
120 How to generate random values in python. For data science and machine learning
Lecture 1: Calculating the mean (Average) in Python Statistics for data science and machine learning
110 How to transpose a vector or matrix in python. For data science and machine learning
119 How to calculate the inverse of a square matrix in python. for data science and machine learning
103 how to select elements from numpy arrays in python
121 how to load sample datasets from sci-kit-learn library in python. For machine learning
105 How to create and apply functions to numpy arrays in python for data science & machine learning.
Lecture 4: Population vs Sample in python - Statistics for data science and machine learning
lecture 2: Calculating Weighted Average in Python - Statistics for data science and machine learning
113 How to find the determinant of a matrix in python. For data science and machine learning.
lecture 16: Calculating The Range in python - Statistics for data science and machine learning