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[FreeCoursesOnline.Me] PacktPub - Probability Statistics - The Foundations Of Machine Learning [Video]

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377 B
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00001 Introduction.mp4
95 MB
00002 Code_Environment_Setup_and_Python_Crash_Course.mp4
321 MB
00003 Getting_Started_with_Code_-_Feel_of_Data.mp4
214 MB
00004 Foundations_Data_Types_and_Representing_Data.mp4
371 MB
00005 Practical_Note_-_One-Hot_Vector_Encoding.mp4
84 MB
00006 Exploring_Data_Types_in_Code.mp4
231 MB
00007 Central_Tendency_Mean_Median_and_Mode.mp4
858 MB
00008 Dispersion_and_Spread_in_Data_Variance_Standard_Deviation.mp4
93 MB
00009 Dispersion_Exploration_Through_Code.mp4
197 MB
00010 Introduction_to_Uncertainty_Probability_Intuition.mp4
135 MB
00011 Simulating_Coin_Flips_for_Probability.mp4
301 MB
00012 Conditional_Probability_the_Most_Important_Concept_in_Stats.mp4
291 MB
00013 Applying_Conditional_Probability_-_Bayes_Rule.mp4
137 MB
00014 Application_of_Bayes_Rule_in_the_Real_World_-_Spam_Detection.mp4
138 MB
00015 Spam_Detection_-_Implementation_Issues.mp4
724 MB
00016 Rules_for_Counting_Mostly_Optional.mp4
196 MB
00017 Quantifying_Events_-_Random_Variables.mp4
111 MB
00018 Two_Random_Variables_-_Joint_Probabilities.mp4
189 MB
00019 Distributions_-_Rationale_and_Importance.mp4
252 MB
00020 Discrete_Distributions_Through_Code.mp4
77 MB
00021 Continuous_Distributions_with_the_Help_of_an_Example.mp4
193 MB
00022 Continuous_Distributions_Code.mp4
79 MB
00023 Case_Study_-_Sleep_Analysis_Structure_and_Code.mp4
1.0 GB
00024 Visualizing_Joint_Distributions_-_The_Road_to_ML_Success.mp4
206 MB
00025 Dependence_and_Variance_of_Two_Random_Variables.mp4
190 MB
00026 Expected_Values_-_Decision_Making_Through_Probabilities.mp4
63 MB
00027 Entropy_-_The_Most_Important_Application_of_Expected_Values.mp4
242 MB
00028 Applying_Entropy_-_Coding_Decision_Trees_for_Machine_Learning.mp4
548 MB
00029 Foundations_of_Bayesian_Inference.mp4
107 MB
00030 Bayesian_Inference_Code_Through_PyMC3.mp4
315 MB
FreeCoursesOnline.me Download Udacity, Masterclass, Lynda, PHLearn, etc Free.url
290 B
Probability-Statistics---The-Foundations-of-Machine-Learning-main.zip
55 MB