More Useful Info in Python

Author: usrbinomarbash

Lists&Dictionaries/README.md

@@ -0,0 +1,16 @@
+### Lists & Dictionaries
+
+
+#### List Methods Table
+
+|                |Start               |       Method    |Output                         |
+|----------------|-----------------|------------|---------------|
+|add|▢▢            |.append(▢)            |▢▢▢            |
+|clear          |  ▢▢☆         |.clear()            |[]   |
+|copy          |  ▢▢▢         |.copy            |▢▢▢   |  
+|count          |  ▢▢☆         |.count(▢)            |2   |  
+|index          |  △▢☆         |.index(△)            |  0 |   
+|insert          |  ▢▢☆         |.insert(1,◯)            |[▢,◯,▢,☆]   |
+|pop i.e. removes          |  △▢☆         |.pop(1)            |[△,☆ ]   |
+|remove          |  ▢☆△         |.remove(△)            |[▢, ☆]   |
+|reverse          |  △▢☆         |.reverse()            |[☆ , ▢,  △]   |

Machine Learning/README.md

@@ -21,12 +21,20 @@
 ### Machine Learning Algorithm, Problem and its Learning Style
 |Algorithm                          |Problem | Learning Style|                  
 |-------------------------------|-----------------------------|------------|
+|Boosting |N/A |Unsupervised
 |Decision Tree| Classification/Regression |Supervised
+|Ensemble Methods| Regression |Supervised
+|Gaussian Mixtures |N/A |Unsupervised
+|Gaussian Progresses Regression|Regression|Supervised
+|Hierarchical Clustering | Clustering | Unsupervised
+|Linear Reg|Regression|Supervised
 |Logistic Reg|Classification|Supervised
 |K-Means| Clustering |Unsupervised
 |KNN| Classification|Supervised
 |Naive-Bayes| Classification|Supervised
 |Random Forest| Classification/Regression |Supervised
+|Spectral Clustering|Clustering|Unsupervised
+|Support Vector Regression|Regression|Supervised
 |SVM| Classification/Regression|Supervised
 
 
@@ -41,6 +49,13 @@
 - Find the ideal model weights which reduces the loss between predicted and actual value
 - whilst remembering to obtain the best fit of a certain dataset to the model  
 
+### Naive Bayes Algorith
+
+- Based on the Bayes Theorem
+- It gathers information to determine the probability of an event to take place based on knowledge
+- ... it has from the past which are related to the event
+- It is naive because the way it makes up its decision may or may not be accurate 
+
 
 ### Cross-Validation:
 - Gives you the performance of your ML model depending on the new unseen data

README.md

@@ -165,3 +165,38 @@ The compiler will raise an error telling you you cannot convert the 2nd datatype
 - UnicodeError: Unicode Encoding/Decoding Error is taking place
 
 - ValueError: When you pass in a value into a function to perform a computation. The value is the correct data type but of incorrect value
+
+
+
+### Powerful One Liners
+
+1. Swap Two Vars
+
+```python
+
+polan2632, dj32 = dj32, polan2632
+```
+
+2. One Liner If Else Statement
+
+```python
+myvar = 42932 if 3532 < 237627332 else 37532
+```
+
+3. Sum of every other value
+
+```python
+sum(prices[::2])
+```
+
+4. Determining If a phrase is a palindrome
+
+```python
+phrase.find(phrase[::-1])
+```
+
+5. Replace a text within a text file
+
+```python
+print(open("somefile.txt").read().replace("hi", "bye"))
+```