welcome and install Method1
FREE PREVIEW123 welcome skill shared and topic covered
FREE PREVIEW4 install anaconda Phyton MAC OS
5 install anaconda Phyton part 2
6 old how to install phyton
7 an introduction
8 an introduction parT2
9 how to concatenate string
10 using phyton string
11 the phyton find method
12 the phyton lower method
13 the phyton replacement method
14 the python strip method
15 how to add new lines
16 working with integers
17 working with float in python
18 how to convert
19 what are python comments
20 introduction to python list
21 how to edit list in python
22 adding comment to our lists
23 the python pop method
24 how to organis a list in python
25 how to find the length of a list
26 looping through a list in python
27-32
33 what is indentation 34turple
34 tuples
35 introduction to pythons input
36 pythons if statements
37 conditional tests with pythons if
38 when values are not equal to each other
39 comparing numbers in python
40 pythons-AND-conditon
41 pythongs-OR-condition
42 the pythons in keywords
43 pythons NOT in keywords
44 begginers if elif else chain
45 begginers multiple conditions
46 begginers updated if with list
47 begginers multiple list
48 an introduction to python diction
49 introduction to python diction part 2
50 begginers python in operator
51 get method
52 begginers editing values in a dictionary
53 begginers looping through a dictionary
54 other ways to loop dictionary
55 using python dict in list
56 list in dictionary
57 inpur prompr
58 while loop part 1
91 init method
92 instance of a class
93 accessing attributes
94 calling methos
95 multiple instances
96 ereader class
97 attribute default value
98 modify directly
99 modify through method
100 imrementa attributes
101 inheritance
102 child method
103 overide methods
104 instances as a tributes
105 import a single class
106 multiple classes in a module
107 multiple class
108 import an entire module
109 all class from module
110-115 working with files
116-117 writing to an empty file
118-119 introduction to exceptions-zero division error
120 try except block
121 handling exceptions
122 what to do when
123 analyzing text
124 multiple files
125 failing silently
126 json dump function
127 jason load method
128 storing reading data in python
129 what is refectoring
130 testing your code in python
131 conclussion thank
6 phytonn basis part2
7 phyton basis part3
8 phyton basics part4
9 introduction to phyton
10 type of data
11 MMM
12 using mean median mode in phytons
13 variation and standard deviation
14 probability densityy
15 common data distribution
16 percentage and moment
17 a crash course in matplotlibrary
18 data visualisatiion
19 covariance and correlation
20 exercise conditional probability
21 exercise solution to conditional probability
22 bayes theorem
23 linear regression
24 polynomian regression
25 multiple regression
26 multilevel model
27 supervised and unsupervised machine learning
28 using train test to prevent overfi
29 bayesian method conccepts
30 implementing a spam classified
31 k means cclustering
32 clustering people by income
33 measuing entropy
34 window installing graphviz
35 mac installing graphvis
36 linus installing graphviz
37 decision tree concept
38 decision tree predicting hireing
39 essemble learning
40 activities xgboost
41 support vector machine svm
42 using svm to cluster people
43 iser based coll
44 ADVACEItem based coll
45 FINDING MOVIES SIMILARITY
46 IMPROVING THE RESULTS OF MOVIES SIMILARITIES
47 making movies recomendations
48 improving the recommendation result
49 k nearest neighbors concepts
50 ADVANCE using knn to predit a rating
51 advance dimentionality
52 ADVANCE pca exaple
53 ADVANCE data warehousing etl-and-elt
54 reinforcement learning
55 hands on with q-learning
56 understanding confussion matrix
57 measuring clasiffier precision
58 bias variace tradeoff
59 kfoid cross validation
60 data cleaning
61 cleaning weblog data
62 normalizing numerica data
63 detecting outliers
64 featrue engineer
65 imputation techniques for missing datas
66 handling unbalanced data
67 bining transformation
68 java 8 and spark installation
69 installing spark part 1
70 installing spark part 2
71 introduction to spark
72 spack and the resillient ditribute
73 introducing milib
74 decision tree in spark
75 kmeans cluster in spark
76 tf-idf spark
77 searching wikipedia with spark
78 using the spark 2 data frame api
79 deploying models to production
80 a-b-testing concept
81 t tests and p values
82 hand on with t-test
83 determine how long to run an
84 a-b-test-gotchas
